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» Importance Sampling for Continuous Time Bayesian Networks
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CCS
2011
ACM
13 years 11 months ago
The power of procrastination: detection and mitigation of execution-stalling malicious code
Malware continues to remain one of the most important security problems on the Internet today. Whenever an anti-malware solution becomes popular, malware authors typically react p...
Clemens Kolbitsch, Engin Kirda, Christopher Kruege...
CDC
2008
IEEE
137views Control Systems» more  CDC 2008»
15 years 6 months ago
On the stability of the Foschini-Miljanic algorithm with time-delays
— Many of the distributed power control algorithms for wireless networks in the literature ignore the fact that while the algorithms necessitate communication among users, propag...
Themistoklis Charalambous, Ioannis Lestas, Glenn V...
ICDM
2007
IEEE
158views Data Mining» more  ICDM 2007»
15 years 6 months ago
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice
Recent years have witnessed an increasing number of studies in stream mining, which aim at building an accurate model for continuously arriving data. Somehow most existing work ma...
Jing Gao, Wei Fan, Jiawei Han
EDCC
2010
Springer
15 years 4 months ago
D2HT: The Best of Both Worlds, Integrating RPS and DHT
Distributed Hash Tables (DHTs) and Random Peer Sampling (RPS) provide important and complementary services in the area of P2P overlay networks. DHTs achieve efficient lookup whil...
Marin Bertier, François Bonnet, Anne-Marie ...
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ECCV
2002
Springer
16 years 1 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal