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» On the Validity of Hierarchical Decompositions
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ICASSP
2011
IEEE
13 years 13 days ago
Co-clustering as multilinear decomposition with sparse latent factors
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos
DASFAA
2006
IEEE
92views Database» more  DASFAA 2006»
14 years 11 days ago
Document Decomposition for XML Compression: A Heuristic Approach
Sharing of common subtrees has been reported useful not only for XML compression but also for main-memory XML query processing. This method compresses subtrees only when they exhib...
Byron Choi
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
13 years 7 months ago
Variable resolution decomposition for robotic navigation under a POMDP framework
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
Robert Kaplow, Amin Atrash, Joelle Pineau
JMLR
2010
108views more  JMLR 2010»
13 years 3 months ago
Tree Decomposition for Large-Scale SVM Problems
To handle problems created by large data sets, we propose a method that uses a decision tree to decompose a given data space and train SVMs on the decomposed regions. Although the...
Fu Chang, Chien-Yang Guo, Xiao-Rong Lin, Chi-Jen L...
CHI
2002
ACM
14 years 9 months ago
Automating CPM-GOMS
CPM-GOMS is a modeling method that combines the task decomposition of a GOMS analysis with a model of human resource usage at the level of cognitive, perceptual, and motor operati...
Bonnie E. John, Alonso H. Vera, Michael Matessa, M...