MIT Artificial Intelligence Laboratory
Research Abstracts 2000
Applied Artificial Intelligence and Learning
Biologically Inspired Robots and Models
Computational Support for People
Foundations of Artificial Intelligence and Learning
Medical Robots
Medical Vision
Mobile Robotics
New Models of Computation
Vision and Sound Applied to People and Activity
Vision Techniques
Vision Techniques
Matthew E. Antone & Seth Teller
"Robust Camera Pose Recovery Using Stochastic Geometry"
Christophe Chefdhotel & Olivier Faugeras
"Evolving Smooth Manifolds of Arbitrary Codimension in Rn"
Ron Dror & Ted Adelson
"Estimating Surface Reflectance from Images"
Vinay Kumar
"Learning-Based Approach to Estimation of Morphable Model Parameters"
Erik G. Miller
"The Geometry of the Manifold of an Image Class and Its Application to Classification"
Erik Miller, Chris Stauffer, Kinh Tieu, Michael Ross & Raquel Romano
"Learning Natural Parameters of Variation"
Michael G. Ross & Paul Viola
"Exploiting Texture-Motion Duality in Optical Flow and Image Segmentation"
Kinh Tieu & Paul Viola
"Sparse High-Dimensional Representations and Large Margin Classifiers for Image Retrieval"
Huizhen Yu & W. Eric L. Grimson
"Extracting Spatial Templates for Image Indexing"
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