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AAAI
2012
12 years 12 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
ISLPED
2010
ACM
206views Hardware» more  ISLPED 2010»
14 years 9 months ago
Energy efficient implementation of parallel CMOS multipliers with improved compressors
Booth encoding is believed to yield faster multiplier designs with higher energy consumption. 16x16-bit Booth and NonBooth multipliers are analyzed in energy and delay space under...
Dursun Baran, Mustafa Aktan, Vojin G. Oklobdzija
CVPR
2004
IEEE
15 years 11 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade
UAI
2003
14 years 11 months ago
Robust Independence Testing for Constraint-Based Learning of Causal Structure
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
Denver Dash, Marek J. Druzdzel
PAKDD
2007
ACM
166views Data Mining» more  PAKDD 2007»
15 years 3 months ago
gPrune: A Constraint Pushing Framework for Graph Pattern Mining
In graph mining applications, there has been an increasingly strong urge for imposing user-specified constraints on the mining results. However, unlike most traditional itemset co...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu