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» An Event Spacing Experiment
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CVPR
2006
IEEE
16 years 8 months ago
Dimensionality Reduction by Learning an Invariant Mapping
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Raia Hadsell, Sumit Chopra, Yann LeCun
ICCV
2003
IEEE
16 years 8 months ago
Stochastic Refinement of the Visual Hull to Satisfy Photometric and Silhouette Consistency Constraints
An iterative method for reconstructing a 3D polygonal mesh and color texture map from multiple views of an object is presented. In each iteration, the method first estimates a tex...
John Isidoro, Stan Sclaroff
ICCV
2001
IEEE
16 years 8 months ago
Model-Based Bundle Adjustment with Application to Face Modeling
We present a new model-based bundle adjustment algorithm to recover the 3D model of a scene/object from a sequence of images with unknown motions. Instead of representing scene/ob...
Ying Shan, Zicheng Liu, Zhengyou Zhang
MICCAI
2006
Springer
16 years 7 months ago
Logarithm Odds Maps for Shape Representation
The concept of the Logarithm of the Odds (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology. Here, we utilize LogOdds for a shape repr...
Kilian M. Pohl, John W. Fisher III, Martha Elizabe...
ICML
2004
IEEE
16 years 7 months ago
Learning with non-positive kernels
In this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that is, kernels which are not positive semidefinite. They do not satisfy Mercer...
Alexander J. Smola, Cheng Soon Ong, Stéphan...