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» Local two-channel critically sampled filter-banks on graphs
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ICIP
2010
IEEE
13 years 5 months ago
Local two-channel critically sampled filter-banks on graphs
In this paper, we propose two-channel filter-bank designs for signals defined on arbitrary graphs. These filter-banks are local, invertible and critically sampled. Depending on th...
Sunil K. Narang, Antonio Ortega
CVPR
2012
IEEE
11 years 9 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
ICCAD
2007
IEEE
161views Hardware» more  ICCAD 2007»
14 years 3 months ago
Clustering based pruning for statistical criticality computation under process variations
— We present a new linear time technique to compute criticality information in a timing graph by dividing it into “zones”. Errors in using tightness probabilities for critica...
Hushrav Mogal, Haifeng Qian, Sachin S. Sapatnekar,...
FOCS
2008
IEEE
14 years 1 months ago
Mixing Time of Exponential Random Graphs
A plethora of random graph models have been developed in recent years to study a range of problems on networks, driven by the wide availability of data from many social, telecommu...
Shankar Bhamidi, Guy Bresler, Allan Sly