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INFOCOM
2003
IEEE
14 years 1 months ago
Asymptotic Insensitivity of Least-Recently-Used Caching to Statistical Dependency
Abstract— We investigate a widely popular Least-RecentlyUsed (LRU) cache replacement algorithm with semi-Markov modulated requests. Semi-Markov processes provide the flexibility...
Predrag R. Jelenkovic, Ana Radovanovic
IJAIT
2002
81views more  IJAIT 2002»
13 years 7 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos
PCM
2010
Springer
183views Multimedia» more  PCM 2010»
13 years 6 months ago
Fast H.264 Encoding Based on Statistical Learning
Abstract. In this paper, we propose an efficient video coding system that applies statistical learning methods to reduce the computational cost in H.264 encoder. The proposed metho...
Chen-Kuo Chiang, Shang-Hong Lai
WINET
2010
88views more  WINET 2010»
13 years 6 months ago
Tree-based object tracking without mobility statistics in wireless sensor networks
Object tracking in wireless sensor networks is to track mobile objects by scattered sensors. These sensors are typically organized into a tree to deliver report messages upon dete...
Li-Hsing Yen, Bang Ye Wu, Chia-Cheng Yang
TCAD
2010
164views more  TCAD 2010»
13 years 2 months ago
Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Javid Jaffari, Mohab Anis