886 search results - page 12 / 178 » Distributed linear discriminant analysis |
126
Voted
IJCNLP
2005
Springer
15 years 6 months ago
2005
Springer
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
CAIP
2005
Springer
15 years 6 months ago
2005
Springer
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
71
Voted
ICMCS
2006
IEEE
15 years 6 months ago
2006
IEEE
In this paper a novel system for image replica detection is presented. The system uses color-based descriptors in order to extract robust features for image representation. These ...
122
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NIPS
2004
15 years 2 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
105
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ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...