1547 search results - page 247 / 310 » Learning a Classification Model for Segmentation |
202
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JMLR
2012
13 years 7 months ago
2012
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
165
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ISBI
2009
IEEE
15 years 11 months ago
2009
IEEE
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
137
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
176
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SIAMIS
2010
14 years 11 months ago
2010
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
139
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ECCV
2006
Springer
16 years 6 months ago
2006
Springer
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...