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» Learning in Computer Vision: Some Thoughts
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ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
14 years 27 days ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
CVPR
2010
IEEE
14 years 3 months ago
Warping Background Subtraction
We present a background model that differentiates between background motion and foreground objects. Unlike most models that represent the variability of pixel intensity at a partic...
Teresa Ko, Stefano Soatto, Deborah Estrin
CVPR
2007
IEEE
14 years 1 months ago
Estimating Cluster Overlap on Manifolds and its Application to Neuropsychiatric Disorders
Although it is usually assumed in many pattern recognition problems that different patterns are distinguishable, some patterns may have inseparable overlap. For example, some faci...
Peng Wang, Christian Köhler, Ragini Verma
CVPR
2005
IEEE
14 years 9 months ago
Tangent-Corrected Embedding
Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one that corresponds to the degrees of freedom of the camera). Recently,...
Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale ...
ECCV
2008
Springer
13 years 9 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...