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ICIP
2005
IEEE
16 years 8 months ago
Non-parametric image super-resolution using multiple images
In this paper, we present a novel learning based framework for performing super-resolution using multiple images. We model the image as an undirected graphical model over image pa...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
ICML
2007
IEEE
16 years 7 months ago
Robust mixtures in the presence of measurement errors
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
Ata Kabán, Jianyong Sun, Somak Raychaudhury
ICML
2003
IEEE
16 years 7 months ago
Learning Mixture Models with the Latent Maximum Entropy Principle
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin...
IROS
2009
IEEE
153views Robotics» more  IROS 2009»
16 years 1 months ago
Symbolic modeling of driving behavior based on hierarchical segmentation and formal grammar
Abstract— This paper presents a new hierarchical segmentation of the observed driving behavioral data based on the levels of abstraction of the underlying dynamics. By synthesizi...
Ato Nakano, Hiroyuki Okuda, Tatsuya Suzuki, Shinki...
FGR
2008
IEEE
304views Biometrics» more  FGR 2008»
16 years 1 months ago
Recovering 3D facial shape via coupled 2D/3D space learning
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes. With a couple...
Annan Li, Shiguang Shan, Xilin Chen, Xiujuan Chai,...