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» Low rank modeling of signed networks
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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 7 months ago
Low rank modeling of signed networks
Trust networks, where people leave trust and distrust feedback, are becoming increasingly common. These networks may be regarded as signed graphs, where a positive edge weight cap...
Cho-Jui Hsieh, Kai-Yang Chiang, Inderjit S. Dhillo...
ICASSP
2011
IEEE
12 years 8 months ago
Cooperative spectrum sensing based on matrix rank minimization
In cognitive radio (CR) networks, multi-CR cooperation typically takes place during spectrum sensing, to cope with wireless fading effects and the hidden terminal problem. The use...
Yue Wang, Zhi Tian, Chunyan Feng
LREC
2008
134views Education» more  LREC 2008»
13 years 6 months ago
Evaluation of Lexical Resources and Semantic Networks on a Corpus of Mental Associations
When a user cannot find a word, he may think of semantically related words that could be used into an automatic process to help him. This paper presents an evaluation of lexical r...
Laurianne Sitbon, Patrice Bellot, Philippe Blache
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 6 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 4 months ago
Spiking Neurons with ASNN Based-Methods for the Neural Block Cipher
Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
Saleh Ali K. Al-Omari, Putra Sumari