292 search results - page 16 / 59 » Discriminative K-means for Clustering |
NAACL
2003
13 years 9 months ago
2003
This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it occurs. Instances of a word that occur in si...
PAMI
2002
13 years 7 months ago
2002
Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techn...
WCE
2007
13 years 8 months ago
2007
—This paper proposes and uses multivariate methods as a tool to evaluate performances of the hardware of microcomputers using their performance data, speed and price. The evaluat...
MM
2010
ACM
13 years 6 months ago
2010
ACM
Bag of features (BoF) representation has attracted an increasing amount of attention in large scale image processing systems. BoF representation treats images as loose collections...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...