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CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 6 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
RSCTC
2000
Springer
147views Fuzzy Logic» more  RSCTC 2000»
13 years 10 months ago
Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
James F. Peters, Andrzej Skowron, Liting Han, Shee...
TMC
2012
11 years 8 months ago
Compressed-Sensing-Enabled Video Streaming for Wireless Multimedia Sensor Networks
—This article1 presents the design of a networked system for joint compression, rate control and error correction of video over resource-constrained embedded devices based on the...
Scott Pudlewski, Arvind Prasanna, Tommaso Melodia
PAMI
2007
107views more  PAMI 2007»
13 years 5 months ago
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
—In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mi...
Yi Ma, Harm Derksen, Wei Hong, John Wright
RSCTC
2004
Springer
200views Fuzzy Logic» more  RSCTC 2004»
13 years 11 months ago
A Comparative Study of Formal Concept Analysis and Rough Set Theory in Data Analysis
The theory of rough sets and formal concept analysis are compared in a common framework based on formal contexts. Different concept lattices can be constructed. Formal concept ana...
Yiyu Yao