Sciweavers

144 search results - page 7 / 29
» Sampling Techniques for Large, Dynamic Graphs
Sort
View
74
Voted
CVPR
2007
IEEE
15 years 11 months ago
A Multi-Resolution Dynamic Model for Face Aging Simulation
In this paper we present a dynamic model for simulating face aging process. We adopt a high resolution grammatical face model[1] and augment it with age and hair features. This mo...
Jin-Li Suo, Feng Min, Song Chun Zhu, Shiguang Shan...
VTC
2010
IEEE
134views Communications» more  VTC 2010»
14 years 7 months ago
Sensitivity of Spectrum Sensing Techniques to RF Impairments
Cognitive radios are devices capable of sensing a large range of frequencies in order to detect the presence of primary networks and reuse their bands when they are not occupied. D...
Jonathan Verlant-Chenet, Julien Renard, Jean-Miche...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
14 years 11 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...
ICCAD
1998
IEEE
75views Hardware» more  ICCAD 1998»
15 years 1 months ago
A fast, accurate, and non-statistical method for fault coverage estimation
We present a fast, dynamic fault coverage estimation technique for sequential circuits that achieves high degrees of accuracy by signi cantly reducing the number of injected fault...
Michael S. Hsiao
PLDI
2009
ACM
15 years 4 months ago
LiteRace: effective sampling for lightweight data-race detection
Data races are one of the most common and subtle causes of pernicious concurrency bugs. Static techniques for preventing data races are overly conservative and do not scale well t...
Daniel Marino, Madanlal Musuvathi, Satish Narayana...