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ECCV
2008
Springer
16 years 3 months ago
Determining Patch Saliency Using Low-Level Context
The increased use of context for high level reasoning has been popular in recent works to increase recognition accuracy. In this paper, we consider an orthogonal application of con...
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
116
Voted
CAV
2009
Springer
187views Hardware» more  CAV 2009»
16 years 2 months ago
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Nathan Kitchen, Andreas Kuehlmann
104
Voted
INFOCOM
2003
IEEE
15 years 7 months ago
Server-based Inference of Internet Link Lossiness
— We investigate the problem of inferring the packet loss characteristics of Internet links using server-based measurements. Unlike much of existing work on network tomography th...
Venkata N. Padmanabhan, Lili Qiu, Helen J. Wang
BMVC
2000
15 years 3 months ago
Data and Decision Level Fusion of Temporal Information for Automatic Target Recognition
Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In our previous work [5] the bac...
Kieron Messer, Josef Kittler
ALT
2005
Springer
15 years 10 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg