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SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
11 years 8 months ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
ICB
2009
Springer
170views Biometrics» more  ICB 2009»
13 years 10 months ago
Face Gender Classification on Consumer Images in a Multiethnic Environment
Abstract. In this paper, we target at face gender classification on consumer images in a multiethnic environment. The consumer images are much more challenging, since the faces cap...
Wei Gao, Haizhou Ai
ICIP
2005
IEEE
14 years 7 months ago
Variable module graphs: a framework for inference and learning in modular vision systems
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
Amit Sethi, Mandar Rahurkar, Thomas S. Huang
ICIP
2008
IEEE
14 years 7 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
IVCNZ
1998
13 years 7 months ago
On Comparing Two Scenarios for Probabilistic Image Modelling
Traditional scenario of probabilistic modelling is directed at generating samples having a given probability distribution. We argue that this scenario is impracticable for image m...
Georgy L. Gimel'farb