487 search results - page 9 / 98 » On applying linear discriminant analysis for multi-labeled p... |
IJCNLP
2005
Springer
14 years 27 days 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...
ICML
2006
IEEE
14 years 8 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...
PAMI
2011
13 years 2 months ago
2011
This paper proposes a general method for improving image descriptors using discriminant projections. Two methods based on Linear Discriminant Analysis have been recently introduce...
TASLP
2011
13 years 2 months ago
2011
Abstract—The shifted delta cepstrum (SDC) is a widely used feature extraction for language recognition (LRE). With a high context width due to incorporation of multiple frames, S...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...