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ICPR
2004
IEEE
14 years 7 months ago
A Hybrid Face Recognition Method using Markov Random Fields
We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into ...
Dimitris N. Metaxas, Rui Huang, Vladimir Pavlovic
ICCV
2011
IEEE
12 years 6 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
AAAI
2007
13 years 8 months ago
Semantic Inference at the Lexical-Syntactic Level
Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on complex logical representation...
Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnar...
CVPR
2012
IEEE
11 years 8 months ago
Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
Kaushik Mitra, Ashok Veeraraghavan
IMR
2004
Springer
13 years 11 months ago
Watertight Anisotropic Surface Meshing Using Quadrilateral Patches
This paper presents a simple technique for generating anisotropic surface triangulations using a generic unstructured quadrilateral decomposition of CAD entities that map to a log...
Robert Haimes, Michael J. Aftosmis