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» Learning with Local and Global Consistency
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CVPR
2012
IEEE
13 years 8 months ago
Multi-view hair capture using orientation fields
Reconstructing realistic 3D hair geometry is challenging due to omnipresent occlusions, complex discontinuities and specular appearance. To address these challenges, we propose a ...
Linjie Luo, Hao Li, Sylvain Paris, Thibaut Weise, ...
IDA
2002
Springer
15 years 5 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
ICCV
2007
IEEE
16 years 8 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICRA
2008
IEEE
125views Robotics» more  ICRA 2008»
16 years 16 days ago
Place recognition-based fixed-lag smoothing for environments with unreliable GPS
— Pose estimation of outdoor robots presents some distinct challenges due to the various uncertainties in the robot sensing and action. In particular, global positioning sensors ...
Roozbeh Mottaghi, Michael Kaess, Ananth Ranganatha...
ECAI
2010
Springer
15 years 4 months ago
Describing the Result of a Classifier to the End-User: Geometric-based Sensitivity
This paper addresses the issue of supporting the end-user of a classifier, when it is used as a decision support system, to classify new cases. We consider several kinds of classif...
Isabelle Alvarez, Sophie Martin, Salma Mesmoudi