|
Project > References
- D. Roth, Learning to Resolve Natural Language Ambiguities: A Unified
Approach, Proc. of the American Association of Artificial Intelligence,
pp. 806-813, 1998.
- D. Roth, Learning in Natural Language, Proc. of the International
Joint Conference on Artificial Intelligence, pp. 898-904, 1999.
- D. Roth, Memory Based Learning in NLP, UIUC Computer Science Department,
no. UIUCDCS-R-99-2125, Mar 1999.
- D. Kriegman, Let them fall where they may: Capture regions of curved
objects and polyhedra. Int. J. Robot. Res., 1996. In press.
- A. Rao, D. Kriegman, and K. Goldberg, Complete algorithms for reorienting
polyhedral parts using a pivoting gripper. IEEE Trans. on Robotics and
Automation, 12(2):331-342, April 1996.
- G. Hager, D. Kriegman, E. Yeh, and C. Rasmussen, Image-based prediction
of landmark features for mobile robot navigation. In IEEE Conf. on Robotics
and Automation, pp. 1040-1046, 1997.
- C. Taylor and D. Kriegman, Vision-based motion planning and exploration
for mobile robots. IEEE Trans. on Robotics and Automation, 14(3):417-426,
1998.
- E. Yeh and D. Kriegman, Toward selecting and recognizing natural landmarks.
In IEEE Int. Workshop on Intelligent Robots and Systems, pp. 47-53,
1995.
- C. Taylor and D. Kriegman, Structure and motion from line segments
in multiple images. Technical Report 9402, Yale Center for Systems Science,
1994. Submitted to PAMI.
- C. Taylor and D. Kriegman, Structure and motion from line segments
in multiple images. IEEE Trans. Pattern Anal. Mach. Intelligence, 17(10):1021-1032,
Oct. 1995.
- D. Kriegman and J. Ponce, On recognizing and positioning curved 3D
objects from image contours. IEEE Trans. Pattern Anal. Mach. Intelligence,
12(12):1127-1137, 1990.
- J. Ponce, A. Hoogs, and D. Kriegman, On using CAD models to compute
the pose of curved {3D} objects. CVGIP: Image Understanding, 55(2):184-197,
Mar. 1992.
- D. J. Kriegman and J. Ponce, Computing exact aspect graphs of curved
objects: Solids of revolution. Int. J. Computer Vision, 5(2):119-135,
1990.
- S. Petitjean, J. Ponce, and D. Kriegman, Computing exact aspect graphs
of curved objects: Algebraic surfaces. Int. J. Computer Vision, 9(3):231-255,
1992.
- T. Joshi, B. Vijayakumar, D. Kriegman, and J. Ponce, HOT curves for
modelling and recognition of smooth curved 3D shapes. Image and Vision
Computing, pp. 479-498, July 1997.
- D. Renaudie, D. Kriegman, and J. Ponce, Invariant high dimensional
curves computation from a video sequence of a 3-d object. In Report
available from authors, 1999.
- B. Vijayakumar, D. Kriegman, and J. Ponce. Invariant-based recognition
of complex curved 3-D objects from image contours. Computer Vision and
Image Understanding, pp. 287-303, Dec.1998.
- B. Vijayakumar, D. Kriegman, and J. Ponce. Structure and motion of
curved 3D objects from monocular silhouettes. In Proc. IEEE Conf. on
Comp. Vision and Patt. Recog., pp. 327-334, 1996.
- A. Georghiades, P. Belhumeur, and D. Kriegman, Illumination-based
image synthesis: Creating novel images of human faces under differing
pose and lighting. In IEEE Workshop on Multi-View Modeling and Analysis
of Visual Scenes, pp. 47-54, 1999.
- S. Magda, P. Belhumeur, and D. Kriegman, Shedding light on reconstruction
and image-based rendering. In SIGGRAPH Technical Sketch, 2000. Submitted.
- P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman, Eigenfaces vs. Fisherfaces:
Recognition using class specific linear projection. IEEE Trans. Pattern
Anal. Mach. Intelligence, 19(7):711-720, 1997. Special Issue on Face
Recognition.
- P.N. Belhumeur and D.J. Kriegman, What is the set of images of an
object under all possible lighting conditions. Int. J. Computer Vision,
28(3):245-260, 1998.
- A. Georghiades, P. Belhumeur, and D. Kriegman, From few to many: Generative
models for recognition under variable pose and illumination. In IEEE
Conf. on Automatic Face and Gesture Recognition, 2000.In press.
- A. Georghiades, D. Kriegman, and P. Belhumeur, Illumination cones
for recognition under variable lighting: Faces. In Proc. IEEE Conf.
on Comp. Vision and Patt. Recog., pp. 52-59, 1998.
- P. Belhumeur, D. Kriegman, and A.Yuille, The bas-relief ambiguity.
Int. J. Computer Vision, 35(1):33-44, 1999.
- D. Kriegman and P. Belhumeur, What shadows reveal about object structure.
In Proc. European Conf. on Computer Vision, pp. 399-414, 1998.
- A. Pentland, Looking at people: sensing for ubiquitous and wearable
computing, IEEE Trans. on Pattern Analysis and Machine Intelligence,
vol. 22, no. 1, pp. 107-119, Jan. 2000.
- P. Ekman, W.V. Friesen, Unmasking the Face, New Jersey, Prentice Hall,
1975.
- P. Ekman, W.V. Friesen, Facial Action Coding System: Investigator's
Guide. Palo Alto, CA: Consulting Psychologists Press, 1978.
- P Ekman, Ed. Emotion in the Human Face, New York, NY: Cambridge University
Press, 2nd edition, 1982.
- I.A. Essa, A. P. Pentland, Facial Expression Recognition using Visually
Extracted Facial Action Parameters, Proc. Int'l Workshop Face and Gesture
Recognition, pp. 35-40, 1995.
- I. A. Essa, A. P. Pentland, Coding Analysis Interpretation and Recognition
of Facial Expressions, IEEE Trans. on Pattern Analysis and Machine Intelligence,
vol. 19, no. 7, pp. 757-763, 1997.
- T. Otsuka, J. Ohya, Recognizing Multiple Persons Facial Expressions
using HMM Based on Automatic Extraction of Significant Frames from Image
Sequences, Proc. Int'l Conf. on Image Processing, Santa Barbara, CA,
pp. 546-549, 1997.
- Y. Yacoob, L. Davis, Recognizing Human Facial Expressions from Long
Image Sequences Using Optical Flow, IEEE Transactions on Pattern Analysis
and Machine Intelligence, vol. 18, pp. 636-642, 1996.
- M. Rosenblum, Y. Yacoob, L. Davis, Human Expression Recognition from
Motion Using a Radial Basis Function Network Architecture, IEEE Transactions
of Neural Networks, vol. 7, pp. 1121-1138, Sep. 1996.
- K. Mase, Recognition of Facial Expression from Optical Flow, IEICE
Transactions, vol. E74, pp. 3474-3483, October 1991.
- M.J. Black, Y. Yacoob, Tracking and Recognizing Rigid and Non-Rigid
Facial Motions Using Local Parametric Models of Image Motion, Proc.
Int'l Conf. Computer Vision, Cambridge, USA, pp. 374-381, 1995.
- G.J. Edwards, T.F. Cootes, C.J. Taylor, Face Recognition Using Active
Appearance Models, Proc. European Conf. Computer Vision, vol. 2, pp.
581-695, 1998.
- H. Hong, H. Neven, C. von der Malsburg, Online Facial Expression Recognition
based on Personalized Galleries, Proc. Int'l Conf. Automatic Face and
Gesture Recognition, pp. 354-359, 1998.
- L.S. Chen, H. Tao, T.S. Huang, T. Miyasato, R. Nakatsu, Emotion Recognition
from Audiovisual Information, Proc. IEEE Workshop on Multimedia Signal
Processing, Los-Angeles, CA, USA, pp. 83-88, 1998.
- L.S. Chen, Joint Processing of Audio-Visual Information for the Recognition
of Emotional Expressions in Human-Computer Interaction, Ph.D. Thesis,
University of Illinois at Urbana-Champaign, 2000.
- L.C. De Silva, T. Miyasato, R. Natatsu, Facial Emotion Recognition
Using Multimodal Information, Proc. IEEE Int'l Conf. on Information,
Communications and Signal Processing, Singapore, pp. 397-401, 1997.
- G. Donato, M. Bartlett, J. Hager, P. Ekman, and T. Sejnowski, Classifying
Facial Actions, IEEE Trans. on Pattern Analysis and Machine Intelligence,
vol. 21, no. 10, pp. 974-989, Oct. 1999.
- V. Pavlovic, J.M. Rehg, T.J. Cham, K.P. Murphy, A Dynamic Bayesian
Network Approach to Figure Tracking using Learned Dynamic Models, Proc.
of International Conference of Computer Vision and Pattern Recognition,
1999.
- A.F. Bobick and A.D. Wilson, A state-based technique for the summarization
and recognition of gesture, in Proc. of the Fifth International Conference
on Computer Vision, pp. 382-388, 1995.
- A. Blake, M. Israd, Active Contours, Springer, 1998.
- A. Blake, M. Israd, and D. Reynard, Learning to track the visual motion
of contours, Journal of Artificial Intelligence, pp. 101-134, 1995.
- M. Israd, A. Blake, Condensation- conditional density propagation
for visual tracking, International Journal of Computer Vision, pages
5-28, 1998.
- D. Reynard, A. Wildenberg, A. Blake, J. Marchant, Learning Dynamics
of Complex Motion from Image Sequences, Proc. of 4th European Conf.
Computer Vision, pp. 357-368, 1996.
- J.M. Rehg and T. Kanade, Visual tracking of high dof articulated structures:
An application to human hand tracking. In European Conference on Computer
Vision, pp B:35-46, 1994.
- D.M. Gavrila and L.S. Davis, Towards 3-d model-based tracking and
recognition of human movement: a multi-view approach. In International
Workshop on Automatic Face- and Gesture-Recognition. IEEE Computer Society,
1995. Zurich.
- C. Bregler, Learning and recognizing human dynamics in video sequences,
Proc. of Computer Vision and Pattern Recognition, 1997.
- C. Wren, A. Azarbayejani, T. Darrell, A. Pentland, Pfinder: Real-Time
Tracking of the Human Body, IEEE Transactions on Pattern Analysis and
Machine Intelligence, pp. 780-785, 1997.
- S. Basu, I. Essa, and A. Pentland, Motion regularization for model-based
head tracking, In Proc. of International Conference on Pattern Recognition,
1996.
- Q. Chen, H. Wu, T. Fukumoto and M. Yachida, 3D head pose estimation
without feature tracking, In Proc. of International Conf. on Automatic
Face and Gesture Recognition., pp. 88-93, 1998.
- E. Elagin, J. Steffens, and H. Neven, Automatic pose estimation for
human faces based on bunch graph matching technology, In Proc. of International
Conf. on Automatic Face and Gesture Recognition., pp. 136-141, 1998.
- T. Heap, D. Hogg, Towards 3D Hand tracking using deformable model,
In Proc. of International Conf. on Automatic Face and Gesture Recognition,
pp. 140-145, 1996.
- J.J. Kuch, T.S. Huang, Vision-Based Hand Modeling and Gesture Recognition
for Human Computer Interaction, Master Thesis, UIUC 1994.
- Y. Wu, T.S. Huang, Human Hand Modeling, Analysis and Animation in
the context of HCI," Proc. of the IEEE International Conf. on Image
Processing, 1999.
- J. Lee, T. Kunii, Model based Analysis of Hand Posture, IEEE Computer
Graphics and Applications, pp. 77-86, 1995.
- A.F. Bobick, A.D. Wilson, A State based approach to the representation
and recognition of gesture, IEEE Trans. on Pattern Analysis and Machine
Intelligence, pp. 1325-1337, 1997.
- T.S. Huang and V.I. Pavlovic, Hand gesture modeling, analysis, and
synthesis, Proc. of International Workshop on Automatic Face- and Gesture-Recognition
(IWAFGR), Zurich, Switzerland, June 26-28, 1995.
- V.I. Pavlovic, R. Sharma, and T.S. Huang, Visual interpretation of
hand gestures for human-computer interaction: A review, IEEE Trans.
on PAMI, July 1997.
- N. Jojic, M. Turk, T.S. Huang, Tracking Articulated Objects in Dense
Disparity Maps, International Conference on Computer Vision (ICCV),
Korfu, Greece, September 1999, pp. 123-130.
- R.W. Picard, Affective Computing The MIT Press, Cambridge, 1997.
- F. Dellaert, T. Polzin, A. Waibel, Recognizing emotion in speech.
Proceedings ICSLP 96. Fourth International Conference on Spoken Language
Processing (Cat. No.96TH8206). IEEE. Vol.3, pp.1970-1973, 1996. New
York, NY, USA.
- R. Cowie, E. Douglas-Cowie, Automatic statistical analysis of the
signal and prosodic signs of emotion in speech. Proceedings ICSLP 96.
Fourth International Conference on Spoken Language Processing (Cat.
No.96TH8206). IEEE. Vol.3, pp.1989-1992, 1996. New York, NY, USA.
- Y. Li, and Y. Zhao, Recognizing Emotions in Speech Using Long-term
and Short-term features, Paper No. 379,Proceedings of ICSLP'98, Australia.
- R. Nakatsu. A. Solomides, N. Tosa, Emotion recognition and its application
to computer agents with spontaneous interactive capabilities." Proceedings
of the 1999 6th International Conference on Multimedia Computing and
Systems. Florence, Italy, June, 1999.
- E. B. Huey, The psychology and pedagogy of reading, 1908. New York:
MacMillan.
- G.W. McConkie, Eye movements and perception during reading. In K.
Rayner (Ed.), Eye movements in reading: Perceptual and linguistic aspects,
pp. 65-96, 1983. New York: Academic Press.
- G.T. Buswell, How people look at pictures, 1935. Chicago: University
of Chicago Press.
- W. Becker and R. Jurgens, Analysis of the saccadic system by means
of double step stimuli. Vision Research, 19, 967-983, 1979.
- K. Rayner and A. Pollatsek, The Psychology of Reading, 1989. Englewood
Cliffs, NJ: Prentice Hall.
- J.M. Findlay and I.D. Gilchrist, Eye guidance and visual search. In
G. Underwood (Ed.), Eye guidance in reading and scene perception. Amsterdam:
Elsevier pp. 295-312, 1998.
- M.A. Just and P.A. Carpenter, A theory of reading: From eye fixations
to comprehension. Psychological Review, 87,329-354, 1980.
- M. Verschueren and A. Levy-Schoen, Unexpected information and strategies
of ocular exploration. Annee Psychologique, 73, 51-65, 1973.
- D.P. Carmody, C.F. Nodine, and H.L. Kundel, An analysis of perceptual
and cognitive factors in radiographic interpretation. Perception, 9,
359-344, 1980.
- L. Stark and S.R. Ellis, Scanpaths revisited: Cognitive models direct
active looking. In D.F. Fisher et al. (eds), Eye movements: cognitive
and visual perception. Hillsdale, NJ: Erlbaum, pp. 193-226, 1981.
- R. Groner, F. Walder, and M. Groner, Looking at faces: local and global
aspects of scanpaths. In A.G. Gale & F. Johnson (eds.), Theoretical
and applied aspects of eye movements research. Amsterdam: Elsevier,
pp. 523-533, 1984.
- R. Althoff, N.J. Cohen, G.W. McConkie, S. Wasserman, M. Maciukenas,
R. Azen, and L. Romine, Eye movement-based memory assessment. In Becker,
W., Deubel, H. and Mergner, T. (eds). Current Oculomotor Research: Physiological
and Psychological Aspects. New York: Plenum. (in press).
- H.M. Yang and G.W. McConkie, Reading Chinese: Some Basic Eye Movement
Characteristics. In J. Wang, A. Inhoff, & H.C. Chen (Eds.) Reading Chinese
Script: A Cognitive Analysis pp.207-222, 1999. Hillsdale, N.J.: Erlbaum
- J. Cassell, Embodied Conversational Agents, MIT Press, 2000.
- F. Quek, Unencumbered gestural interaction, IEEE Multimedia, vol.
4, no. 3, pp. 36-47, winter 1996.
- O. Faugeras and M. Hebert, The representation, recognition, and locating
of 3D objects. Int. J. Robot. Res., 5(3):27-52, Fall 1986.
- P. Flynn and A. Jain, CAD-based computer vision: From CAD models to
relational graphs. IEEE Trans. Pattern Anal. Mach. Intelligence, 13(2):114-132,
1991.
- W.E.L. Grimson, Object Recognition by Computer: The Role of Geometric
Constraints. MIT Press, 1990.
- D. Huttenlocher and S. Ullman, Recognizing solid objects by alignment
with an image. IJCV, 5(2):195-212, November 1990.
- D. G. Lowe, The viewpoint consistency constraint. Int. J. Computer
Vision, 1(1):57--72, 1987.
- E. Marchand, P. Bouthemy, F. Chaumette, and V. Moreau, Robust real-time
visual tracking using a 2D-3D model-based approach. In Int. Conf. on
Computer Vision, pp. 262-268, 1999.
- J. Mundy and A. Zisserman, Geometric Invariance in Computer Vision.
MIT Press, Cambridge, Mass., 1992.
- W. Grimson, On the recognition of curved objects. IEEE Trans. Pattern
Anal. Mach. Intelligence, 11(6):632-643, June 1989.
- J. Liu, J. Mundy, D. Forsyth, A. Zisserman, and C. Rothwell, Efficient
recognition of rotationally symmetric surfaces and straight homogeneous
generalized cylinders. In Proc. IEEE Conf. on Comp. Vision and Patt.
Recog., pp. 123-128, 1993.
- E. Rivlin and I. Weiss, Local invariants for recognition. PAMI, 17(3):226-238,
March 1995.
- J.L. Crowley and P. Stelmaszyk, Measurement and integration of 3D
structures by tracking edge lines. In Proc. European Conf. on Computer
Vision, pp. 269-280, 1990.
- G. Hager and K. Toyama, X vision: A portable substrate for real-time
vision applications. Computer Vision and Image Understanding, 69(1):23-37,
1998.
- G.D. Hager and P.N. Belhumeur, Real-time tracking of image regions
with changes in geometry and illumination. In Proc. IEEE Conf. on Comp.
Vision and Patt. Recog., pp. 403-410, 1996.
- O. Camps, C. Huang, and T. Kanungo, Hierarchical organization of appearance
based parts and relations for object recognition. In Proc. IEEE Conf.
on Comp. Vision and Patt. Recog., pp. 685-691, 1998.
- H. Murase and S. Nayar, Visual learning and recognition of 3-D objects
from appearance. Int. J. Computer Vision, 14(1):5-24, 1995.
- S. Nayar and H. Murase, Dimensionality of illumination in appearance
matching. IEEE Conf. on Robotics and Automation, 1996.
- M. Turk and A. Pentland, Eigenfaces for recognition, J. of Cognitive
Neuroscience, 3(1), 1991.
- K. Ikeuchi and T. Suehiro, Towards an assembly plan from observation,
part I: Task recognition with polyhedral objects. IEEE Trans. on Robotics
and Automation, 10(3):368-385, June 1994.
- Y. Kuniyoshi, M. Inaba, and H. Inoue, Learning by watching: Extracting
reusable task knowledge from visual observation of human performance.
IEEE Trans. on Robotics and Automation, 10:799-822, 1994.
- J. Miura and K. Ikeuchi, Task-oriented generation of visual sensing
strategies in assembly tasks. IEEE Trans. Pattern Anal. Mach. Intelligence,
20(2):126-138, Feb. 1998.
- V. Zue, et al., "JUPITER: A Telephone-Based Conversational Interface
for Weather Information" IEEE Transactions on Speech and Audio Processing,
Vol.8 , No. 1, pp. 85-96, January 2000.
- D.J. Attwater, J.S. Fisher, and H.R. Greenhon, "Toward fluency - structured
dialogues with natural speech input." Proc. Of the 16th Annual International
Voice Technologies Applications Conference (AVIOS'97), pp. 147-158,
1997.
- B. Sourvignier et al., The Thoughtful Elephant: Strategies for Spoken
Dialog systems, IEEE Transactions on Speech and Audio Processing, Vol.
8, No. 1, pp. 51-62, January 2000.
- C. Tung-Hui, L. Yi-Chung, Towards a PURE Chinese spoken dialogue system.
Chung-Kuo Kung Ch'Eng Hsueh K'An/Journal of the Chinese Institute of
Engineers, vol.22, no.5, pp.581-591, Sept. 1999.
- P. Baggia, G. Castagneri, M. Danieli, Field trials of the Italian
ARISE train timetable system. Proceedings 1998 IEEE 4th Workshop Interactive
Voice Technology for Telecommunications Applications. IVTTA '98 (Cat.
No.98TH8376). pp.97-102, 1998. IEEE. New York, NY, USA.
- E. Levin, et al., A Stochastic Model of Human-Machine Interaction
for Learning Dialog Strategies. IEEE Transactions on Speech and Audio
Processing, Vol. 8, No. 1, pp. 11-23 January 2000.
- Giuseppe Riccardi and Allen L. Gorin, Stochastic Language Adaptation
over Time and State in Natural Spoken Dialog Systems, IEEE Transactions
on Speech and Audio Processing, Vol. 8 , No. 1, pp. 3-10, January 2000.
- M. Siu and M. Ostendorf. Stochastic Language Adaptation over Time
and State in Natural Spoken Dialog Systems, IEEE Transactions on Speech
and Audio Processing, vol. 8, no. 1, pp. 63-75, January 2000.
- G. Van Noord, G. Bouma, R. Koeling, M-J. Bederhof, Robust grammatical
analysis for spoken dialogue systems. Natural Language Engineering,
vol.5, pt.1, March 1999, pp.45-93. Publisher: Cambridge University Press,
UK.
- J-U. Moller, Using unsupervised learning for engineering of spoken
dialogues. Applying Machine Learning to Discourse Processing. Papers
from the 1998 AAAI Symposium, pp.75-81, 1998. AAAI Press. Menlo Park,
CA, USA.
- R. Leceuche, D. Robertson, C. Barry, C. Mellish, Evaluating focus
theories for dialogue management. International Journal of Human-Computer
Studies, vol.52, no.1, pp.23-76, Jan. 2000. Publisher: Academic Press,
UK.
- O. Olsson, F. Espinoza, Multimedia dialogue management in agent-based
open service environments. Multimedia Applications, Services and Techniques
- ECMAST'99. 4th European Conference. Proceedings, pp.515-533, 1999.
Springer-Verlag:Berlin, German.
- G. Veldhuijzen van Zanten, Adaptive mixed-initiative dialogue management.
Proceedings 1998 IEEE 4th Workshop Interactive Voice Technology for
Telecommunications Applications. IVTTA '98 (Cat. No.98TH8376). pp.65-70,
1998. IEEE New York, NY, USA.
- A. Jonsson, A model for habitable and efficient dialogue management
for natural language interaction. Natural Language Engineering, vol.3,
pt.2-3, Sept. 1997, pp.103-22. Publisher: Cambridge University Press,
UK.
- L.B. Larsen, Investigating a mixed-initiative dialogue management
strategy. 1997 IEEE Workshop on Automatic Speech Recognition and Understanding
Proceedings (Cat. No.97TH8241), pp.65-71, 1997. IEEE. New York, NY,
USA.
- T. Kawahara, L. Chin-Hui, J. Biing-Hwang, Flexible speech understanding
based on combined key-phrase detection and verification. IEEE Transactions
on Speech & Audio Processing, vol.6, no.6, pp.558-568, Nov. 1998. Publisher:
IEEE, USA.
- I.R. Murray and J.L. Arnott, Toward the simulation of emotion in synthetic
speech: a review of the literature on human vocal emotion. [Journal
Paper] Journal of the Acoustical Society of America, Vol. 93, no.2,
pp.1097-1108, Feb. 1993.
- I.R. Murray, and J.L. Arnott, Implementation and testing of a system
for producing emotion-by-rule in synthetic speech, Speech Communication
Vol. 16, pp. 369-390, 1995.
- I.R. Murray, and J.L. Arnott, Synthesizing Emotions in Speech: Is
It Time to Get Excited? , Proc. ICSLp'96, pp. 1816 -1819, 1996, Philadelphia,
USA.
- J.E. Cahn, The Generation of Affect in Synthesized Speech, Journal
of the American Voice I/O Society, Vol. 8, pp. 1-19, July 1990.
- B. Heuft, T. Portele, and M. Rauth, Emotions in Time Domain Synthesis,
Proc. ICSLP'96, pp. 1974 -1977, 1996. Philadelphia, USA.
- S. Hoskins, D. Yarrington, H.T. Bunnell, Prosody in the ASEL diphone
synthesizer. [Conference Paper] Proceedings of the RESNA '97 Annual
Conference. Let's Tango - Partnering People and Technology, pp.348-350,
1997. RESNA Press. Arlington, VA, USA.
- A. Iida, N. Campbell, M. Yasumura, Design and evaluation of synthesized
speech with emotion. Transactions of the Information Processing Society
of Japan, vol.40, no.2, pp.479-486. Feb. 1999. Publisher: Inf. Process.
Soc. Japan, Japan.
- N. Magnenat-Thalmann and P. Kalra, A model for creating and visualizing
speech and emotion. [Conference Paper] Aspects of Automated Natural
Language Generation. 6th International Workshop Proceedings, pp.1-12,
1992. Springer-Verlag:Berlin, Germany.
- P. Roach, R. Stibbard, J. Osborne, S. Arnfield, and J. Setter, Transcription
of Prosodic and Paralinguistic Features of Emotional Speech. Journal
of the International Phonetic Association, 28, pp. 83-94, 1998.
- T. Moriyama and S. Ozawa, Emotion recognition and synthesis system
on speech International Conference on Multimedia Computing & Systems-Proceedings.
Vol. 1 pp. 840-844, 1999.
- J. Sato, S. Morishima, Emotion modeling in speech production using
emotion space. [Conference Paper] Proceedings. 5th IEEE International
Workshop on Robot and Human Communication RO-MAN'96 Tsukuba (Cat. No.96TH8179).
IEEE. New York, NY, USA, pp.472-477, 1996.
- A. Emmett, Digital portfolio: Tony de Peltrie, Computer Graphics World,
8(10):72-77 Oct. 1985.
- Walczak, Sextone for President, ACM SIGGRAPH Video Review, vol 38/39,
1988.
- F.I. Parke, A Parametric Model for Facial Animation, IEEE Computer
Graphics and Applications, 2(9):61-70, 1982.
- C. Pelachaud, N.I. Badler, and M. Steedman, Generate Facial Expressions
for Speech from Phonemic, Intonational, and Affectual Representations,
Cognitive Science, 20(1), pp. 1-46, 1996.
- D. Terzopoulos and K. Waters, Analysis and Synthesis of Facial Image
Sequences Using Physical and Anatomical Models, IEEE Transactions on
Pattern Analysis and Machine Intelligence, pp. 569-579, 1993.
- I. A. Essa and A. Pentland, Tracking Facial Motion, IEEE Workshop
on Nonrigid and Articulate Motion, Austin, Texas, November 1994.
- P. Hong, L. Xue, T.S. Huang, Mouth Motion Learning and Generating
from Observation, IEEE Workshop on Multimedia Signal Processing, LA,
Cal., USA, Dec 7-9, 1998.
- L. Williams, Performance-driven Facial Animation, Computer Graphics,
24(4):235-242, August 1990.
- B. Guenter, C. Grimm, D. Wood, et al., Making Faces, in Proc. SIGGRAPH'98,
1998.
- M. Brand, Voice Puppetry, SIGGRAPH99.
- D. Beymer, A. Shashua, and T. Poggio, Example-based image analysis
and synthesis, AI memo no. 1431, AI Lab, MIT, 1993.
- H.P. Graf, E. Cosatta, and T. Ezzat, Face analysis for the synthesis
of photo-realistic talking faces, Proc. 4th Int. Conf. on Automatic
Face and Gesture Recognition, pp. 189-194, March 28-30, 2000, Grenoble,
France.
- C. Bregler, M. Covell, and M. Slaney, Video Rewrite, Proc. SIGGRAPH
'97, pp. 353-360, ACM SIGGRAPH, July 1997.
- AAAS. Benchmarks for science literacy. New York: Oxford University
Press, 1993.
- National Council of Teachers of Mathematics. Curriculum and evaluation
standards for school mathematics. USA: National Council of Teachers
of Mathematics, Inc., 1989.
- National Research Council. National Science Education Standards. Washington,
DC: National Academy Press, 1996.
- J. Clement, Learning via model construction and criticism: Protocol
evidence on sources of creativity in science. In G. Glover, R. Ronning,
& C. Reynolds (Eds.), Handbook of creativity: Assessment, theory, and
research, pp. 341-381. New York: Plenum, 1989.
- E. Duckworth, "The having of wonderful ideas" and other essays on
teaching and learning. New York: Teachers College Press, 1996.
- C. T. Fosnot (Ed.), Constructivism: Theory, perspectives, and practice.
New York: Teachers College Press, 1996.
- A. Karmiloff-Smith and B. Inhelder, If you want to get ahead, get
a theory. Cognition, 3, pp. 195-212, 1975.
- K. Tobin (Ed.), The Practice of Constructivism in Science Education.
Hillsdale, NJ: Erlbaum, 1993.
- R.Gautreau and L. Novemsky, Concepts first: A small group approach
to physics learning. American Journal of Physics, 65, pp. 418-428, 1997.
- B.J. Merino and L. Hammond, Family Gardens and Solar Ovens: Making
Science Education Accessible to Culturally and Linguistically Diverse
Students. Multicultural Education. 5(3), pp. 34-37, 1998.
- B. White and J. Frederiksen, An overview of the ThinkerTools Inquiry
Project. (Causal Models Research Group Report No. CM-95-04). Berkeley,
CA: School of Education, University of California at Berkeley, 1995.
- R.E. Yager and J.D. Weld, Scope, Sequence and Coordination: The Iowa
Project, A National Reform Effort in the USA. International Journal
of Science Education. 21(2), pp. 169-194, 1999.
- D.N. Perkins, Technology meets constructivism: Do they make a marriage?
In T. M. Duffy & D. H. Jonassen (Eds.) Constructivism and the technology
of instruction: A conversation, pp. 45-55, 1992.
- I. Harel and S. Papert, eds., Constructionism. Norwood, NJ: Ablex,
1991.
- D.H. Jonassen, K.L. Peck, and B.G. Wilson, Learning with technology
: A constructivist perspective. Upper Saddle River, N.J. : Merrill,
1999.
- Y. Kafai and M. Resnick, eds., Constructionism in Practice: Designing,
Thinking, and Learning in a Digital World. Mahwah, NJ: Lawrence Erlbaum,
1996.
- S. Papert, Mindstorms: Children, Computers, and Powerful Ideas. New
York: Basic Books, 1980.
- G. Salomon ed., Distributed Cognition. Cambridge, UK: Cambridge University
Press, 1994.
- J.P. Gee and J.L. Green, Discourse analysis, learning, and social
practice: A methodological study. Review of Research in Education, 23,
pp. 119-216, 1998.
- C. Goodwin, Recording human interaction in natural settings. Pragmatics
3(2), pp. 181-209, 1993.
- B. Jordan, Technology and Social Interaction: Notes on the Achievement
of Authoritative Knowledge in Complex Settings. Palo Alto, CA: Institute
for Research on Learning, 1992.
- B. Jordan and A. Henderson, Interaction analysis: Foundations and
practice. The Journal of the Learning Sciences, 4, pp. 39-103,1995.
- R. Hall, Video recording as theory. In D. Lesh and B. Lovitts (Eds.),
Handbook of methods for research in learning and teaching science and
mathematics. The Netherlands: Kluwer, in press.
- M.T.H. Chi, Quantifying qualitative analyses of verbal data: A practical
guide. Journal of the Learning Sciences. 6(3), pp. 271-315,1997.
- K.A. Ericsson and H.A. Simon, Protocol analysis: Verbal reports as
data. Cambridge, MA: MIT Press, 1984.
- K.A. Ericsson and H.A. Simon, How to study thinking in everyday life:
Contrasting think-aloud protocols with descriptions and explanations
of thinking. Mind, Culture, and Activity, 5(3), pp. 178-186, 1998.
- A.H. Schoenfeld, On paradigms and methods: What do you do when the
ones you know don't do what you want them to? Issues in the analysis
of data in the form of videotapes. Journal of the Learning Sciences,
2, pp. 179-214, 1992.
- A.H. Schoenfeld, J.P. Smith, and A. Arcavi, Learning: The microgenetic
analysis of one student's understanding of a complex subject matter
domain. In R. Glaser (Ed.), Advances in instructional psychology (Volume
4). Hillsdale, NJ: Erlbaum, 1993.
- P. Smagorinsky, Thinking and speech and protocol analysis. Mind, Culture,
and Activity 5(3), pp. 157-177, 1998.
- K. Leander and D.E. Brown, "You understand, but you don't believe
it": Tracing the stabilities and instabilities of interaction in a physics
classroom through a multidimensional framework. Cognition and Instruction,
17(1), pp. 93-135, 1999.
- B. Andersson, The experiental gestalt of causation: A common core
to pupil's preconceptions in science. European Journal of Science Education,
8, pp. 155-171, 1986.
- D.E. Brown, Refocusing core intuitions: A concretizing role for analogy
in conceptual change. Journal of Research in Science Teaching, 30(10),
pp. 1273-1290, 1993.
- D.E. Brown and J. Clement, Overcoming misconceptions via analogical
reasoning: Abstract transfer versus explanatory model construction.
Instructional Science, 18(4), 237-261, 1989.
- C. Chin and D.E. Brown, Learning in Science: A Comparison of Deep
and Surface Approaches. Journal of Research in Science Teaching, pp.109-138,
2000.
- J. Clement, Observed methods for generating analogies in scientific
problem solving. Cognitive Science, 12(4), 563-586, 1988.
- D. Hammer, Student inquiry in a physics class discussion. Cognition
and Instruction, 13, pp. 401-430, 1995.
- A Rath and D. E. Brown, Modes of Engagement in Science Inquiry: A
Microanalysis of Elementary Students' Orientations toward Phenomena
at a Summer Science Camp. Journal of Research in Science Teaching, 33,
pp. 1083-1097, 1996.
- M. Reiner, M.T.H. Chi, and L. Resnick, Naive materilistic belief:
An underlying epistemological commitment. In V. L. Patel and G. J. Groen
(Eds.), Proceedings of the Tenth Annual Conference of the Cognitive
Science Society, pp. 544-551, Montreal, Quebec, Canada, August 17-19,
1988.
- J. Roschelle, Beyond romantic versus sceptic: A microanalysis of conceptual
change in kinematics. International Journal of Science Education, 20,
pp. 1025-1042, 1998.
- S. Vosniadou and W.F. Brewer, Mental models of the earth: A study
of conceptual change in childhood. Cognitive Psychology, 24, pp.535-585,
1992.
- M. Csikszentmihalyi, The flow experience and its significance for
human psychology, In M. Csikszentmihalyi & I.S. Csikszentmihalyi (Eds.),
Optimal experience: Psychological studies of flow in consciousness (pp.
15-35). New York: Cambridge University Press (1988).
- D.J. Grosshandler and E. Niswander Grosshandler, Constructing fun:
Self-determination and learning at an afterschool design lab, Computers
in Human Behavior, (in press).
- I. Harel and S. Papert, Software design as a learning environment,
In I. Harel and S. Papert (Eds.), Constructionism, pp. 41-84. Norwood,
NJ: Ablex (1991).
- C. Hutt, Exploration and play (#2), In B. Sutton-Smith (Ed.), Play
and learning (pp. 175-194). New York: Gardner Press (1979).
- M. Resnick, and S. Ocko, LEGO/Logo: Learning through and about design,
In I. Harel and S. Papert (Eds.), Constructionism. Norwood, NJ: Ablex,
(1991).
- B. Rogoff, Apprenticeship in thinking: Cognitive development in social
context. New York: Oxford University Press, (1990).
- H. Tao and T. Huang, Bezier volume deformation model for facial animation
and video tracking, Proc. IFIP Workshop on Modeling and Motion Capture
Techniques for Virtual Environments (CAPTECH'98), Nov. 1998.
- N. Jojic, M. Turk, and T.S. Hunag, Tracking articulated self-occluding
objects in dense disparity maps, Proc. Int. Conf. on Computer Vision,
pp. 123-130, Sept. 1999, Corfu, Greece.
- Y. Wu, Q. Liu, and T.S. Huang, An adaptive self-organizing color segmentation
algorithm with application to robust real-time human hand localization,
In Proc. Asian Conf. on Computer Vision, pp. 1106-1111, Jan. 2000, Taipei,
Taiwan.
- D. DeCarlo and D. Metaxas, The integration of optic flow and deformable
models with applications to human face shape and motion estimation,
In Proc. IEEE Conf. on Computer Vision and pattern Recognition, pp.
231-238, 1996.
- S.E. Levinson, L.R. Rabiner, and M.M. Sondhi, An introduction to the
application of the theory of probabilistic functions of a Markov process
toautomatic speech recognition, Bell Syst. Tech. Journal, 62(4), pp.
1035-1074, April 1983.
- R. Sproat (ed.), Multilingual Text-to-Speech Synthesis, Kluwer, Boston,
1998.
- L.R. Rabiner and R.W. Schafer, Digital Processing of Speech Signals,
Prentice-Hall, Englewood Cliffs, NJ, 1978.
- S.E. Levinson and K.L. Shipley, A conversational mode airline information
and reservation system using speech input and output. Bell Syst. Tech.
Journal, 59(1), pp. 119-137, 1980.
- [Sharma 98]R. Sharma, V. Pavlovic, and T.S. Huang, Toward Multimodal
Human-Computer Interface, Proc. IEEE, vol. 86, no. 5, pp. 853-869, May
1998.
- [Pavlovic99]V. Pavlovic, Dynamic Bayesian Networks for Information
Fusion with Applciations to Human-Computer Interfaces, Ph.D. thesis,
Dept. of Electrical and Computer Engineering, Univ. of Illinois at Urbana-Champaign,
1999.
- M. Hebert, J. Ponce, T. Boult, A. Gross, and D. Forsyth, Report on
the NSF/ARPA workshop on 3D object representation for computer vision,
In M. Hebert, J. Ponce, T. Boult, and A. Gross, editors, 3D Object Representation
for Computer Vision, Lecture Notes in Computer Science. Springer-Verlag,
1995.
- R. Khardon and D. Roth, Learning to Reason, Journal of the ACM, vol.
44, no. 5, pp. 697-725, Sept 1997.
- R. Khardon, and D. Roth, Learning to Reason with a Restricted View,
Machine Learning, vol. 35, no. 2, pp. 95-117, 1999.
- R. Khardon,, Learning to take Actions, Machine Learning, vol. 35,
no. 1, pp. 57-90, 1999.
- R. Greiner and A. Grove and D. Roth, Learning Active Classifiers,
Proc. of the International Conference on Machine Learning, pp. 207-215,
1996.
- L.G. Valiant, A Theory of the Learnable, Communications of the ACM,
vol. 27, no. 11, pp. 1134-1142, Nov. 1984. (Defines 'learnability' wrt
EXAMPLES and ORACLE using arbitrary probability measure on event space.
Shows k-CNF learnable from examples only.)
- M. Littman and A. Cassandra and L. Kaebling, Learning plicies for
partially observable environments: Scaling up, Proc. of the International
Conference on Machine Learning, pp. 362-370, 1995.
- R. Khardon, Learning action strategies for planning domains, Artificial
Intelligence, vol. 113, pp. 125-148, 1999.
- R. Khardon, D. Roth, and L. G. Valiant, Relational Learning for NLP
using Linear Threshold Elements, Proc. of the International Joint Conference
on Artificial Intelligence, pp. 911-917, 1999
- D. Roth, Learning to Reason: The Non-Monotonic Case, Proc. of the
International Joint Conference on Artificial Intelligence, pp. 1178-1184,
1995.
- A. Carleson, C. Cumby, J. Rosen, and D. Roth, The SnoW Learning Architecture,
UIUC Computer Science Department, no. UIUCDCS-R-99-2101, May 1999.
- D. Roth, On the hardness of approximate reasoning, Artificial Intelligence,
vol. 82, no. 1-2, pp. 273-302, Apr. 1996.
- O. J. Mengshoel and D. Roth and D. Wilkins, Stochastic Greedy Search:
Efficiently Computing a Most Probable Explanation in Bayesian Networks,
Artificial Intelligence. Submitted for publication.
- O. J. Mengshoel and D. Roth and D. Wilkins, Hard and Easy Bayesian
Networks for Computing the Most Probable Explanation, Journal of Artificial
Intelligence Research. Submitted for publication.
- A. Darwiche and G. Provan, Query DAGs: A practical approach for implementing
belief network inference, Journal of Artificial Intelligence Research,
vol. 6, pp. 147-196, 1997.
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