DSpace at MIT
(28,952 recursos)
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42.
Learning from Incomplete Data - Ghahramani, Zoubin; Jordan, Michael I.
Real-world learning tasks often involve high-dimensional data sets with complex patterns of missing features.
43.
Reciprocal Interactions Between Motion and Form Perception - Sinha, Pawan
The processes underlying the perceptual analysis of visual form are believed to have minimal interaction with those subserving the perception of visual motion (Livingstone and Hubel, 1987; Victor and Conte, 1990).
44.
How are Three-Deminsional Objects Represented in the Brain? - Buelthoff, Heinrich H.; Edelman, Shimon Y.; Tarr, Michael J.
In all experiments recognition performance was: (1) consistently viewpoint dependent; (2) only partially aided by binocular stereo and other depth information, (3) specific to viewpoints that were familiar; (4) systematically disrupted by rotation in depth more than by deforming the two-dimensional images of the stimuli.
47.
The Quadric Reference Surface: Theory and Applications - Shashua, Amnon; Toelg, Sebastian
The theoretical component of this work involves the question of whether one can find a unique (and simple) mapping that aligns two arbitrary perspective views of an opaque textured quadric surface in 3D, given (i) few corresponding points in the two views, or (ii) the outline conic of the surface in one view (only) and few corresponding points in the two views.
51.
Measure Fields for Function Approximation - Marroquin, Jose L.
The computation of a piecewise smooth function that approximates a finite set of data points may be decomposed into two decoupled tasks: first, the computation of the locally smooth models, and hence, the segmentation of the data into classes that consist on the sets of points best approximated by each model, and second, the computation of the normalized discriminant functions for each induced class.
53.
Conditions for Viewpoint Dependent Face Recognition - Schyns, Philippe G.; Bulthoff, Heinrich H.
Poggio and Vetter (1992) showed that learning one view of a bilaterally symmetric object could be sufficient for its recognition, if this view allows the computation of a symmetric, "virtual," view.
54.
Example Based Image Analysis and Synthesis - Beymer, David; Shashua, Amnon; Poggio, Tomaso
In our technique: -- the mapping from novel images to a vector of "pose" and "expression" parameters can be learned from a small set of example images using a function approximation technique that we call an analysis network; -- the inverse mapping from input "pose" and "expression" parameters to output images can be synthesized from a small set of example images and used to produce new images using a similar synthesis network.
60.
An Electronic Market-Maker - Chan, Nicholas Tung; Shelton, Christian
This paper presents an adaptive learning model for market-making under the reinforcement learning framework.