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» A Generalization of Forward-Backward Algorithm
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MCS
2002
Springer
13 years 4 months ago
Forward and Backward Selection in Regression Hybrid Network
Abstract. We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm det...
Shimon Cohen, Nathan Intrator
ICIP
2007
IEEE
14 years 6 months ago
P-Laplacian Driven Image Processing
In this work, we take a novel line of approaches to evolve images. It is motivated by the total variation method, known for its denoising and edge-preserving effect. Our approach ...
Arjan Kuijper
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
13 years 6 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...
SCFBM
2008
738views more  SCFBM 2008»
13 years 4 months ago
Purposeful selection of variables in logistic regression
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...
Zoran Bursac, C. Heath Gauss, David Keith Williams...
ICCV
2009
IEEE
14 years 9 months ago
Image Sequence Geolocation with Human Travel Priors
This paper presents a method for estimating geographic location for sequences of time-stamped photographs. A prior distribution over travel describes the likelihood of traveling...
Evangelos Kalogerakis, Olga Vesselova, James Hays,...