1148 search results - page 118 / 230 » Dimensionality Reduction with Image Data |
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ESANN
2007
15 years 5 months ago
2007
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
114
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NIPS
2004
15 years 5 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...
126
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JMLR
2010
14 years 10 months ago
2010
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
115
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
150
Voted
CRV
2005
IEEE
15 years 9 months ago
2005
IEEE
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...