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» Approximate algorithms for neural-Bayesian approaches
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CVPR
2004
IEEE
16 years 4 days ago
Window-Based, Discontinuity Preserving Stereo
Traditionally, the problem of stereo matching has been addressed either by a local window-based approach or a dense pixel-based approach using global optimization. In this paper, ...
Motilal Agrawal, Larry S. Davis
90
Voted
CVPR
2005
IEEE
16 years 4 days ago
Estimating Disparity and Occlusions in Stereo Video Sequences
We propose an algorithm for estimating disparity and occlusion in stereo video sequences. The algorithm defines a prior on sequences of disparity maps using a 3D Markov random fie...
Oliver M. C. Williams, Michael Isard, John MacCorm...
NIPS
1997
14 years 11 months ago
Learning to Order Things
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
William W. Cohen, Robert E. Schapire, Yoram Singer
IR
2010
14 years 8 months ago
Gradient descent optimization of smoothed information retrieval metrics
Abstract Most ranking algorithms are based on the optimization of some loss functions, such as the pairwise loss. However, these loss functions are often different from the criter...
Olivier Chapelle, Mingrui Wu
CVPR
2005
IEEE
16 years 4 days ago
Energy Minimization via Graph Cuts: Settling What is Possible
The recent explosion of interest in graph cut methods in computer vision naturally spawns the question: what energy functions can be minimized via graph cuts? This question was fi...
Daniel Freedman, Petros Drineas