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ICPR
2004
IEEE
14 years 10 months ago
Iterative Figure-Ground Discrimination
Figure-ground discrimination is an important problem in computer vision. Previous work usually assumes that the color distribution of the figure can be described by a low dimensio...
Liang Zhao, Larry S. Davis
ICCV
2005
IEEE
14 years 11 months ago
Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis
In this paper, we investigate the mathematical problem underlying segmentation of hybrid motions: Given a series of tracked feature correspondences between two (perspective) image...
Shankar Rao, Allen Y. Yang, Andrew Wagner, Yi Ma
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 3 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
ICIP
2001
IEEE
14 years 10 months ago
EM algorithms of Gaussian mixture model and hidden Markov model
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
Guorong Xuan, Wei Zhang, Peiqi Chai
WWW
2009
ACM
14 years 10 months ago
Spatio-temporal models for estimating click-through rate
We propose novel spatio-temporal models to estimate clickthrough rates in the context of content recommendation. We track article CTR at a fixed location over time through a dynam...
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango