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NIPS
2007
14 years 11 months ago
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
We consider the estimation problem in Gaussian graphical models with arbitrary structure. We analyze the Embedded Trees algorithm, which solves a sequence of problems on tractable...
Venkat Chandrasekaran, Jason K. Johnson, Alan S. W...
TSP
2008
179views more  TSP 2008»
14 years 10 months ago
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
15 years 10 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
ISCA
2006
IEEE
121views Hardware» more  ISCA 2006»
15 years 4 months ago
Flexible Snooping: Adaptive Forwarding and Filtering of Snoops in Embedded-Ring Multiprocessors
A simple and low-cost approach to supporting snoopy cache coherence is to logically embed a unidirectional ring in the network of a multiprocessor, and use it to transfer snoop me...
Karin Strauss, Xiaowei Shen, Josep Torrellas
TVLSI
2010
14 years 4 months ago
Bandwidth Adaptive Hardware Architecture of K-Means Clustering for Video Analysis
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Tse-Wei Chen, Shao-Yi Chien