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ESANN
2006
15 years 6 months ago
Visual nonlinear discriminant analysis for classifier design
Abstract. We present a new method for analyzing classifiers by visualization, which we call visual nonlinear discriminant analysis. Classifiers that output posterior probabilities ...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda
VC
2008
78views more  VC 2008»
15 years 4 months ago
Particle-based non-photorealistic volume visualization
Non-photorealistic techniques are usually applied to produce stylistic renderings. In visualization, these techniques are often able to simplify data, producing clearer images than...
Stef Busking, Anna Vilanova, Jarke J. van Wijk
ICCV
2009
IEEE
16 years 9 months ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen
CVPR
2008
IEEE
16 years 6 months ago
A factorization approach to structure from motion with shape priors
This paper presents an approach for including 3D prior models into a factorization framework for structure from motion. The proposed method computes a closed-form affine fit which...
Alessio Del Bue
FGR
2008
IEEE
255views Biometrics» more  FGR 2008»
15 years 11 months ago
Aligned Cluster Analysis for temporal segmentation of human motion
Temporal segmentation of human motion into actions is a crucial step for understanding and building computational models of human motion. Several issues contribute to the challeng...
Feng Zhou, Fernando De la Torre, Jessica K. Hodgin...