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» Local two-channel critically sampled filter-banks on graphs
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ICIP
2010
IEEE
13 years 2 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 7 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 1 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
13 years 11 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