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ICCV
2005
IEEE
15 years 3 months ago
Non-Orthogonal Binary Subspace and Its Applications in Computer Vision
This paper presents a novel approach that represents an image or a set of images using a nonorthogonal binary subspace (NBS) spanned by boxlike base vectors. These base vectors po...
Hai Tao, Ryan Crabb, Feng Tang
PUC
2007
113views more  PUC 2007»
14 years 9 months ago
Yesterday's tomorrows: notes on ubiquitous computing's dominant vision
Ubiquitous computing is unusual amongst technological research arenas. Most areas of computer science research, such as programming language implementation, distributed operating s...
Genevieve Bell, Paul Dourish
PAMI
2011
14 years 4 months ago
Dynamic Programming and Graph Algorithms in Computer Vision
Optimization is a powerful paradigm for expressing and solving problems in a wide range of areas, and has been successfully applied to many vision problems. Discrete optimization ...
Pedro F. Felzenszwalb, Ramin Zabih
CVPR
2007
IEEE
15 years 11 months ago
Regularized Mixed Dimensionality and Density Learning in Computer Vision
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
Gloria Haro, Gregory Randall, Guillermo Sapiro
ECCV
2002
Springer
15 years 11 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer