34 search results - page 5 / 7 » Learning Data Representations with Sparse Coding Neural Gas |
143
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CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
131
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KSEM
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
139
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JMLR
2008
15 years 19 days ago
2008
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
112
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JMLR
2006
15 years 1 months ago
2006
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
112
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...