Teaching
Winter 2008, CSC 577 - Seminar in AI: Advanced Topics in Pattern
Recognition
Fall 2007, CSC 290A - Topics in CS: Computational Photography and Video
Selected Invited Talks
Jan. 2009, McGill University - Montreal
May 2008, University of Rochester - Computer Science Graduation Ceremony
Oct. 2007, Cornell - Bill and Melinda Gates Foundation Workshop
March 2007, Google
March 2007, MIT
Dec. 2006, Kodak Research
Dec. 2006, Michael Smith Genomic Sciences Centre - Vancouver
Nov. 2006, McGill University - Montreal
Sept. 2006, Invention to Venture - University of Massachusetts
Business School, Guest Speaker
Sept. 2006, Advanced Invention to Venture - Massachusetts Biomedical Center, UMass
Worcester
Sept. 2006, Canadian Independent Media Arts Alliance - National
Conference Speaker
July 2006, Microsoft Research - Redmond, WA.
May 2006, Microsoft Research - Cambridge, UK.
Selected Contributions
Morsillo, N., Mann, G., and Pal, C. (2010)
YouTube Scale, Large Vocabulary Video Annotation. Book chapter to appear in Video Search and Mining, Springer-Verlag series on Studies in Computational Intelligence.
Wei, B. and Pal, C. (2010)
Cross Lingual Adaptation: An Experiment on Sentiment Classifications. In the proceedings of the ACL.
Messing, R., Pal, C., and Kautz, H. (2009)
Activity recognition using the velocity histories of tracked keypoints. In the proceedings of ICCV 2009. Note: our data and code can also be found on the [Project Page].
Morsillo, N., Pal, C. and Nelson, R. (2009)
Semi-Supervised Learning of Visual Classifiers from Web Images and Text. In proceedings of the International Joint Conference on Artificial Intelligence (IJCAI).
Chris Pal, Drew Steedly and Richard Szeliski. (2008)
Video registration and image sequence stitching. US Patent 7,460,730.
Patrick Baudish, Chris Pal, Eric Rudolph, Drew Steedly, Richard Szeliski, Desney Tan and Matthew Uyttendaele. (2008)
Real-time preview for panoramic images. US Patent 7,424,218 .
with Jerod Weinman and Lam Tran. (2008)
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing.
In proc. European Conf. on Computer Vision (ECCV), Springer-Verlag LNCS, vol. 1, pp. 617-630.
with Gideon Mann and Richard Minerich. (2007)
Putting Semantic Information
Extraction on the Map: Noisy Label Models for Fact Extraction. In the
proceedings of the AAAI Workshop on Information Integration on the Web (IIWeb 2007).
with Xuerui Wang and Andrew McCallum. (2007) Generalized Component Analysis for Text with
Heterogeneous Attributes In the proceedings of Knowledge Discovery and
Data
Mining (KDD).
with Greg Druck, Jerry Zhu and Andrew McCallum. (2007) Semi-Supervised Classification with
Hybrid Generative/Discriminative Methods. In the proceedings of Knowledge Discovery and Data
Mining (KDD).
with Pallika Kanani and Andrew McCallum. (2007) Improving Author Coreference by
Resource-bounded Information Gathering from the Web In
the proceedings of
the Twentieth International Joint Conference on Artificial Intelligence
(IJCAI).
with Patrick Baudisch, Desney Tan, Drew Steedly, Eric Rudolph,
Matt Uyttendaele and Richard Szeliski. (2006)
An Exploration of User
Interface Designs for Real-time Panoramic Photography.
Australian Journal of Information Systems (AJIS), vol. 13, no.
2.
with Michael Kelm and Andrew McCallum. (2006) Combining Generative and
Discriminative Methods for Pixel Classification with Multi-Conditional
Learning In the proceedings of ICPR 2006. vol. 2 pp. 828-832.
[BibTeX]
with Charles Sutton and Andrew McCallum. (2006) Sparse Forward-Backward using Minimum
Divergence Beams for Fast Training of Conditional Random Fields.
In the proceedings of the IEEE International Conference on
Acoustics, Speech, and Signal Processing
(ICASSP), vol. 5, pp. 581-584.[BibTeX]
with Andrew McCallum, Greg Druck and Xuerui Wang. (2006) Multi-Conditional Learning:
Generative/Discriminative Training for Clustering and
Classification In the proceedings of AAAI 2006.[BibTeX]
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Aseem Agarwala, Colin Zheng, Chris Pal,
Maneesh
Agrawala, Michael Cohen, Brian Curless, David Salesin, and Richard
Szeliski. (2005) Panoramic
video textures. Proceedings of ACM SIGGRAPH 2005, ACM
Transactions on Graphics, vol. 24, issue 3, pp. 821-827.[BibTeX]
[Project Page]
[Video (.wmv)]
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Pal, C. and Jojic, N. (2005) Interactive Montages of Sprites for
Indexing
and Summarizing Security Video. In the Video Proceedings of
IEEE Computer Vision and
Pattern Recognition, CVPR 2005. vol. 2, pp. 1192.[BibTeX]
[Video (.wmv)]
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Baudisch, P., Tan, D., Steedly, D.,
Rudolph, E.,
Uyttendaele, M.,
Pal, C., and Szeliski, R.
(2005) Panoramic
Viewfinder: providing a real-time preview to help users avoid flaws in
panoramic pictures. In the Proceedings of OZCHI 2005,
Canberra,
Australia, November 2005.[BibTeX]
[Project Page]
[Video
(.mov)]
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Pal, C. (2004) Probability Models for
Information
Processing and Machine Perception. PhD Thesis, University of
Waterloo.
Pal, C. (2001) Probabilistic Models and Decision
Problems
. An Invited Tutorial Presented at the International Symposium for
Environmental Software Systems, ISESS 2001, Banff, Alberta, Canada,
May 22-25, 2001.
Pal, C. and Hu, M. (2001) Methodologies for
Constructing and Training Large Hierarchical Hidden Markov Models for
Sequence
Analysis
. Research in Computational Biology. RECOMB 2001. Abstract for
Poster
Presentation. April 22-25, 2001. Poster
[here] in .pdf format (Note: you will need a recent version of Adobe Acrobat to
view properly):
Pal, C. Swayne, D. and Frey, B.
(2001) The Automated Extraction of
Environmentally Relevant Features from Digital Imagery using Bayesian
Multi-Resolution Analysis
. Advances in Environmental Research. vol. 5, issue 4, pp
435-444.
Dorner, S. Swayne, D. A., Rudra,
R. P., Pal, C., Newald, C. (2001)
Integrating Parametric Uncertainty and
Modelling Results into an Advisory System for Watershed Management
. Advances in Environmental Research.. vol. 5, issue
4, pp. 445-451
Pal, C., Slaney, M. and Adams, R.
(2000)
Sound-based Event Control Using Timbral Analysis
. United States Patent number: 6,054,646.
Dorner, S., Pal, C. and Swayne,
D.A. (1999) Case Libraries and Information Theoretic Case Matching for
Water Resource Management. Proceedings of ISESS 1999, The
International Symposium on Environmental Software Systems
.
Pal, C. (1998) A Technique for Illustrating Dynamic
Component Level Interactions Within a Software Architecture
. Proceedings of CASCON 1998. The IBM Centre for Advanced Studies
Conference . pp. 134-146.
MacKenzie, I.S., Soukoreff, R.W.
& Pal, C. (1997) A two ball mouse
affords three degrees of freedom
. Extended Abstracts of CHI 1997. The ACM Conference on Human
Factors
in Computing Systems , pp. 303-304. New York: ACM.
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Copyright Information:
All copyrights for these documents are retained by the copyright holder, and permission to copy this
work
should be obtained from the copyright holder in writing. This copyright notice must be kept together
with
the downloaded or printed document.
In my opinion, there are some nice images on this site as well. I believe the low resolution version
of the
images belong to the paper copyright holders while the high resolution versions belong to some
combination
of the photographers, my co-authors and myself. I am looking into this issue and will post
a statement as soon as I can get a clearer determination.
Technical Reports and Course Projects
Kamel, M. Keast, J. and Pal, C. (1997) The Architecture of the Linux
Kernel
.
Pal, C. (1997) Multimedia Vector
Processing .
Pal, C. (2000) Learning and Representing Semantic Information
in
WordNet and MindNet.
Pal, C. (2000) Numerical Methods
for Pricing
Financial Options
.
Pal, C. (2000) Probabilistic Models
for
Document Collections: Latent Semantic Indexing
.
Hu, M. Ingram, C. Sirski, M. Pal, C., Swamy, S. Patten, C.
(2000) A Hierarchical HMM Implementation
for Vertebrate
Gene Splice Site Prediction
.
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The SVD, Principal Component
Analysis
and the Latent Semantic Indexing of Documents
Masters Thesis Presentation
Some links to past and present mentors and collaborators
Brendan Frey
(University of Toronto, ECE),
Tim Hughes
(University of Toronto, Medical Research),
Nebojsa Jojic
(Microsoft Research),
Trausti
Kristjansson (Google),
Andrew McCallum
(University of Massachusetts, CS),
Quaid Morris
(University of Toronto),
Sam Roweis University of Toronto, CS),
Malcolm Slaney
(Yahoo Research),
Rick Szeliski
(Microsoft Research),
Matt
Uyttendaele (Microsoft Research)
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