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NIPS
2004
13 years 10 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...
ICCV
2011
IEEE
12 years 8 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
CVPR
2011
IEEE
13 years 4 months ago
Learning to Find Occlusion Regions
For two consecutive frames in a video, we identify which pixels in the first frame become occluded in the second. Such general-purpose detection of occlusion regions is difficul...
Ahmad Humayun, Oisin Mac Aodha, Gabriel Brostow
ACIVS
2006
Springer
14 years 14 days ago
Robust Analysis of Silhouettes by Morphological Size Distributions
We address the topic of real-time analysis and recognition of silhouettes. The method that we propose first produces object features obtained by a new type of morphological operato...
Olivier Barnich, Sébastien Jodogne, Marc Va...
SIGIR
2004
ACM
14 years 2 months ago
A search engine for historical manuscript images
Many museum and library archives are digitizing their large collections of handwritten historical manuscripts to enable public access to them. These collections are only available...
Toni M. Rath, R. Manmatha, Victor Lavrenko