137 search results - page 16 / 28 » Sparse Semi-supervised Learning Using Conjugate Functions |
MICCAI
2010
Springer
14 years 10 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
116
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CVPR
2008
IEEE
15 years 16 days ago
2008
IEEE
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...
SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
111
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CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
In this work we present a new string similarity feature, the sparse spatial sample (SSS). An SSS is a set of short substrings at specific spatial displacements contained in the or...