2507 search results - page 214 / 502 » Learning Low-Level Vision |
133
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
117
Voted
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
130
click to vote
ICCV
2005
IEEE
16 years 4 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
125
click to vote
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
111
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ICCV
2007
IEEE
15 years 9 months ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...