1812 search results - page 5 / 363 » A Support Vector Method for Clustering |
134
Voted
JCST
2008
15 years 3 months ago
2008
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
107
Voted
ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
105
Voted
WWW
2007
ACM
16 years 4 months ago
2007
ACM
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
123
Voted
IMSCCS
2006
IEEE
15 years 9 months ago
2006
IEEE
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...
173
Voted
ICMCS
2005
IEEE
15 years 9 months ago
2005
IEEE
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...