292 search results - page 14 / 59 » Discriminative K-means for Clustering |
IASSE
2004
13 years 9 months ago
2004
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We propose a method to enhance multi-stream Gabor and MFCC features using data-driven hierarchical phoneme clusters to yield more discriminating posteriors. We take into account d...
SIGIR
2002
ACM
13 years 7 months ago
2002
ACM
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
CVPR
2008
IEEE
14 years 2 months ago
2008
IEEE
We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...