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» A Statistical Clustering Model and Algorithm
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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 7 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 8 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 11 months ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
ECCV
2004
Springer
16 years 8 months ago
Spatially Homogeneous Dynamic Textures
Abstract. We address the problem of modeling the spatial and temporal second-order statistics of video sequences that exhibit both spatial and temporal regularity, intended in a st...
Gianfranco Doretto, Eagle Jones, Stefano Soatto
ICIP
2007
IEEE
16 years 8 months ago
A Statistical Approach for Intensity Loss Compensation of Confocal Microscopy Images
In this paper a probabilistic technique for compensation of intensity loss in the confocal microscopy images is presented. Confocal microscopy images are modeled as a mixture of t...
Sowmya Gopinath, Ninad Thakoor, Jean Gao, Kate Lub...