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CVPR
2009
IEEE
15 years 2 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
14 years 8 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
14 years 2 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»
14 years 1 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
PLDI
1999
ACM
13 years 12 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