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» Measuring complexity by measuring structure and organization
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TITB
2010
167views Education» more  TITB 2010»
15 years 25 days ago
Structural action recognition in body sensor networks: distributed classification based on string matching
Mobile sensor-based systems are emerging as promising platforms for healthcare monitoring. An important goal of these systems is to extract physiological information about the subj...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari
MM
2004
ACM
147views Multimedia» more  MM 2004»
15 years 11 months ago
Implementation and evaluation of EXT3NS multimedia file system
The EXT3NS is a scalable file system designed to handle video streaming workload in large-scale on-demand streaming services. It is based on a special H/W device, called Network-S...
Baik-Song Ahn, Sung-Hoon Sohn, Chei-Yol Kim, Gyu-I...
ISIPTA
2005
IEEE
168views Mathematics» more  ISIPTA 2005»
15 years 11 months ago
Approximate Inference in Credal Networks by Variational Mean Field Methods
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...
Jaime Shinsuke Ide, Fabio Gagliardi Cozman
PODC
2010
ACM
15 years 8 months ago
Brief announcement: efficient graph algorithms without synchronization
We give a graph decomposition technique that creates entirely independent subproblems for graph problems such as coloring and dominating sets that can be solved without synchroniz...
Johannes Schneider, Roger Wattenhofer
171
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ESANN
2007
15 years 7 months ago
Exploring the causal order of binary variables via exponential hierarchies of Markov kernels
Abstract. We propose a new algorithm for estimating the causal structure that underlies the observed dependence among n (n ≥ 4) binary variables X1, . . . , Xn. Our inference pri...
Xiaohai Sun, Dominik Janzing