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» On the initialization of the DNMF algorithm
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SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
15 years 8 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 8 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
KAIS
2006
126views more  KAIS 2006»
15 years 6 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal

Publication
1851views
17 years 7 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
MIRAGE
2009
Springer
16 years 1 months ago
Interpreting Face Images by Fitting a Fast Illumination-Based 3D Active Appearance Model
Abstract. We present a fast and robust iterative method for interpreting face images under non-uniform lighting conditions by using a fitting algorithm which utilizes an illuminat...
Salvador E. Ayala-Raggi, Leopoldo Altamirano Roble...