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IJAR
2007
96views more  IJAR 2007»
15 years 6 months ago
Complexity measurement of fundamental pseudo-independent models
Pseudo-independent (PI) models are a special class of probabilistic domain model (PDM) where a set of marginally independent domain variables shows collective dependency, a specia...
J. Lee, Y. Xiang
ICPR
2008
IEEE
16 years 8 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
GECCO
2004
Springer
16 years 3 days ago
Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms
We present quantitative models for the selection pressure of cellular evolutionary algorithms structured in two dimensional regular lattices. We derive models based on probabilisti...
Mario Giacobini, Enrique Alba, Andrea Tettamanzi, ...
ACL
2007
15 years 8 months ago
Guiding Statistical Word Alignment Models With Prior Knowledge
We present a general framework to incorporate prior knowledge such as heuristics or linguistic features in statistical generative word alignment models. Prior knowledge plays a ro...
Yonggang Deng, Yuqing Gao
ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
16 years 10 days ago
Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
Ninad Thakoor, Sungyong Jung, Jean Gao