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» Feature Detection with Automatic Scale Selection
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NIPS
2001
14 years 11 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
CGF
2008
144views more  CGF 2008»
14 years 9 months ago
Deformation-Driven Shape Correspondence
Non-rigid 3D shape correspondence is a fundamental and difficult problem. Most applications which require a correspondence rely on manually selected markers. Without user assistan...
Hao Zhang 0002, Alla Sheffer, Daniel Cohen-Or, Qua...
CLUSTER
2007
IEEE
15 years 4 months ago
Anomaly localization in large-scale clusters
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
Ziming Zheng, Yawei Li, Zhiling Lan
CVPR
2007
IEEE
15 years 11 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
ICCV
2003
IEEE
15 years 11 months ago
Recognising Panoramas
The problem considered in this paper is the fully automatic construction of panoramas. Fundamentally, this problem requires recognition, as we need to know which parts of the pano...
Matthew Brown, David G. Lowe