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» Approximate predictive state representations
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ICCV
2009
IEEE
14 years 9 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos
TEC
2008
115views more  TEC 2008»
14 years 11 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
KES
2008
Springer
14 years 11 months ago
Application Study in Decision Support with Fuzzy Cognitive Map
Fuzzy cognitive map is an approach to knowledge representation and inference; it emphasizes the connections of concepts as basic units for storing knowledge, and the structure that...
Yue He
VLDB
2005
ACM
129views Database» more  VLDB 2005»
15 years 5 months ago
Sketching Streams Through the Net: Distributed Approximate Query Tracking
Emerging large-scale monitoring applications require continuous tracking of complex dataanalysis queries over collections of physicallydistributed streams. Effective solutions hav...
Graham Cormode, Minos N. Garofalakis
176
Voted
CVPR
2010
IEEE
13 years 9 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu