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GLVLSI
2005
IEEE
205views VLSI» more  GLVLSI 2005»
15 years 8 months ago
Optimization objectives and models of variation for statistical gate sizing
This paper approaches statistical optimization by examining gate delay variation models and optimization objectives. Most previous work on statistical optimization has focused exc...
Matthew R. Guthaus, Natesan Venkateswaran, Vladimi...
ACL
2010
15 years 1 months ago
Importance of Linguistic Constraints in Statistical Dependency Parsing
Statistical systems with high accuracy are very useful in real-world applications. If these systems can capture basic linguistic information, then the usefulness of these statisti...
Bharat Ram Ambati
VRST
2009
ACM
15 years 9 months ago
A semantic environment model for crowd simulation in multilayered complex environment
Simulating crowds in complex environment is fascinating and challenging, however, modeling of the environment is always neglected in the past, which is one of the essential proble...
Hao Jiang, Wenbin Xu, Tianlu Mao, Chunpeng Li, Shi...
SGP
2007
15 years 5 months ago
Robust statistical estimation of curvature on discretized surfaces
A robust statistics approach to curvature estimation on discretely sampled surfaces, namely polygon meshes and point clouds, is presented. The method exhibits accuracy, stability ...
Evangelos Kalogerakis, Patricio D. Simari, Derek N...
170
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PCM
2010
Springer
183views Multimedia» more  PCM 2010»
15 years 1 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