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» Novel iteration schemes for the Cluster Variation Method
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138
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BMCBI
2007
207views more  BMCBI 2007»
15 years 16 days ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
127
Voted
CVPR
2007
IEEE
16 years 2 months ago
Progressive Finite Newton Approach To Real-time Nonrigid Surface Detection
Detecting nonrigid surfaces is an interesting research problem for computer vision and image analysis. One important challenge of nonrigid surface detection is how to register a n...
Jianke Zhu, Michael R. Lyu
68
Voted
ICPR
2006
IEEE
16 years 1 months ago
A Psychological Adaptive Model For Video Analysis
Extracting key-frames is the first step for efficient content-based indexing, browsing and retrieval of the video data in commercial movies. Most of the existing research deals wi...
B. Bhanu, N. Ghosh
97
Voted
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 7 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
117
Voted
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
14 years 10 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang