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TNN
2010
155views Management» more  TNN 2010»
14 years 10 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
125
Voted
BMCBI
2008
158views more  BMCBI 2008»
15 years 3 months ago
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent compo
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
Dominik Lutter, Peter Ugocsai, Margot Grandl, Evel...
CVPR
2006
IEEE
16 years 5 months ago
Using Dependent Regions for Object Categorization in a Generative Framework
"Bag of words" models have enjoyed much attention and achieved good performances in recent studies of object categorization. In most of these works, local patches are mo...
Gang Wang, Ye Zhang, Fei-Fei Li 0002
141
Voted
SADM
2010
141views more  SADM 2010»
14 years 10 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
116
Voted
IPPS
1998
IEEE
15 years 7 months ago
Comparing the Optimal Performance of Different MIMD Multiprocessor Architectures
We compare the performance of systems consisting of one large cluster containing q processors with systems where processors are grouped into k clusters containing u processors eac...
Lars Lundberg, Håkan Lennerstad