1370 search results - page 202 / 274 » The RIM Framework for Image Processing |
103
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ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
113
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CVPR
2012
IEEE
13 years 8 days ago
2012
IEEE
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
We describe a method for generating N-best configurations from part-based models, ensuring that they do not overlap according to some user-provided definition of overlap. We ext...
DAGM
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. An information theoretic framework for grouping observations is proposed. The entropy change incurred by new observations is analyzed using the Kalman filter update equa...