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ICDM
2008
IEEE
190views Data Mining» more  ICDM 2008»
14 years 1 months ago
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimo...
Meghana Deodhar, Joydeep Ghosh
GBRPR
2009
Springer
14 years 1 months ago
Computing and Visualizing a Graph-Based Decomposition for Non-manifold Shapes
Modeling and understanding complex non-manifold shapes is a key issue in shape analysis and retrieval. The topological structure of a non-manifold shape can be analyzed through its...
Leila De Floriani, Daniele Panozzo, Annie Hui
RECOMB
2004
Springer
14 years 7 months ago
Mining protein family specific residue packing patterns from protein structure graphs
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...
NN
2002
Springer
137views Neural Networks» more  NN 2002»
13 years 7 months ago
Acetylcholine in cortical inference
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
Angela J. Yu, Peter Dayan
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 7 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li