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» SMEM Algorithm for Mixture Models
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ICIP
2004
IEEE
16 years 6 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
165
Voted
ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...
WWW
2011
ACM
14 years 11 months ago
Investigating topic models for social media user recommendation
This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users’ interests using Latent Dirichle...
Marco Pennacchiotti, Siva Gurumurthy
145
Voted
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 8 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
140
Voted
DICTA
2003
15 years 6 months ago
A Robust Method for Estimating the Fundamental Matrix
In this paper, we propose a robust method to estimate the fundamental matrix in the presence of outliers. The new method uses random minimum subsets as a search engine to find inli...
C. L. Feng, Y. S. Hung