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163
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
State of the art methods for image and object re-
trieval exploit both appearance (via visual words) and
local geometry (spatial extent, relative pose). In large
scale problems,...
136
Voted
ISVC
2007
Springer
15 years 9 months ago
2007
Springer
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...
114
Voted
NIPS
2004
15 years 4 months ago
2004
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
106
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
165
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...