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CVPR
2009
IEEE
16 years 11 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
ICML
2005
IEEE
16 years 4 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
ISPASS
2009
IEEE
15 years 11 months ago
Experiment flows and microbenchmarks for reverse engineering of branch predictor structures
Insights into branch predictor organization and operation can be used in architecture-aware compiler optimizations to improve program performance. Unfortunately, such details are ...
Vladimir Uzelac, Aleksandar Milenkovic
SMA
2005
ACM
119views Solid Modeling» more  SMA 2005»
15 years 9 months ago
Tightening: curvature-limiting morphological simplification
Given a planar set S of arbitrary topology and a radius r, we show how to construct an r-tightening of S, which is a set whose boundary has a radius of curvature everywhere greate...
Jason Williams, Jarek Rossignac
124
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PLDI
1999
ACM
15 years 8 months ago
Whole Program Paths
Whole program paths (WPP) are a new approach to capturing and representing a program’s dynamic—actually executed—control flow. Unlike other path profiling techniques, which ...
James R. Larus