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» Selectivity Estimation using Probabilistic Models
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HIPEAC
2007
Springer
15 years 6 months ago
Efficient Program Power Behavior Characterization
Fine-grained program power behavior is useful in both evaluating power optimizations and observing power optimization opportunities. Detailed power simulation is time consuming and...
Chunling Hu, Daniel A. Jiménez, Ulrich Krem...
ECCV
2002
Springer
16 years 4 months ago
Learning to Parse Pictures of People
The detection of people is one of the foremost problems for indexing, browsing and retrieval of video. The main difficulty is the large appearance variations caused by action, clot...
Rémi Ronfard, Cordelia Schmid, Bill Triggs
SIROCCO
2008
15 years 3 months ago
Recovering the Long-Range Links in Augmented Graphs
The augmented graph model, as introduced by Kleinberg (STOC 2000), is an appealing model for analyzing navigability in social networks. Informally, this model is defined by a pair...
Pierre Fraigniaud, Emmanuelle Lebhar, Zvi Lotker
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
15 years 8 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...
UAI
2000
15 years 3 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping