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CVPR
2005
IEEE
16 years 8 months ago
On Modelling Nonlinear Shape-and-Texture Appearance Manifolds
Statistical shape-and-texture appearance models employ image metamorphosis to form a rich, compact representation of object appearance. They achieve their efficiency by decomposin...
Chris Mario Christoudias, Trevor Darrell
ICIP
2005
IEEE
16 years 8 months ago
Face hallucination through dual associative learning
In this paper, we propose a novel patch-based face hallucination framework, which employs a dual model to hallucinate different components associated with one facial image. Our mod...
Wei Liu, Dahua Lin, Xiaoou Tang
IPMI
2009
Springer
16 years 7 months ago
Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disea
The paper presents a novel statistical framework for cortical folding pattern analysis that relies on a rich multivariate descriptor of folding patterns in a region of interest (RO...
Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, ...
KDD
2001
ACM
228views Data Mining» more  KDD 2001»
16 years 7 months ago
REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive indust
REVI-MINER is a KDD-environment which supports the detection and analysis of deviations in warranty and goodwill cost statements. The system was developed within the framework of ...
Edgar Hotz, Udo Grimmer, W. Heuser, Gholamreza Nak...
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
16 years 1 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos