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CVPR
2008
IEEE
16 years 5 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic
ICCV
2007
IEEE
16 years 5 months ago
Spherical-Homoscedastic Shapes
Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
Onur C. Hamsici, Aleix M. Martínez
ECCV
2006
Springer
16 years 5 months ago
A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Jingyu Yan, Marc Pollefeys
ECCV
2002
Springer
16 years 5 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
165
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Publication
397views
16 years 5 months ago
Build it but where? A GIS methodology for guiding the planning of new cycling facilities
Concern over climate change, traffic congestion, and the health consequences of sedentary lifestyles has resulted in a surge of interest in cycling as an efficient form of urban ...
Larsen, J. & El-Geneidy, M.
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