4542 search results - page 429 / 909 » Unsupervised Feature Selection Using Feature Similarity |
193
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JCP
2008
15 years 6 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
230
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HAIS
2010
Springer
15 years 4 months ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
199
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We introduce the notion of co-saliency for image matching. Our matching algorithm combines the discriminative power of feature correspondences with the descriptive power of matchi...
167
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We introduce a new framework, namely Tensor Canonical Correlation Analysis (TCCA) which is an extension of classical Canonical Correlation Analysis (CCA) to multidimensional data ...
179
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OTM
2005
Springer
16 years 10 days ago
2005
Springer
Abstract. This paper describes a Java-based communication middleware, called AspectJRMI, that applies aspect-oriented programming concepts to achieve the following requirements: (1...