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MM
2006
ACM
218views Multimedia» more  MM 2006»
15 years 4 months ago
SmartLabel: an object labeling tool using iterated harmonic energy minimization
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
Wen Wu, Jie Yang
SIGIR
1992
ACM
15 years 2 months ago
Bead: Explorations in Information Visualization
ct We describe work on the visualization of bibliographic data and, to aid in this task, the application of numerical techniques for multidimensional scaling. Many areas of scienti...
Matthew Chalmers, Paul Chitson
ICCV
1998
IEEE
15 years 12 months ago
Wide Baseline Stereo Matching
`Invariant regions' are image patches that automatically deform with changing viewpoint as to keep on covering identical physical parts of a scene. Such regions are then desc...
Philip Pritchett, Andrew Zisserman
AAAI
2007
15 years 12 days ago
Semi-Supervised Learning with Very Few Labeled Training Examples
In semi-supervised learning, a number of labeled examples are usually required for training an initial weakly useful predictor which is in turn used for exploiting the unlabeled e...
Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang
IJON
2008
105views more  IJON 2008»
14 years 10 months ago
A comprehensive review of current local features for computer vision
Local features are widely utilized in a large number of applications, e.g., object categorization, image retrieval, robust matching, and robot localization. In this review, we foc...
Jing Li, Nigel M. Allinson