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» Extracting the Essence from Sets of Images
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ICPR
2006
IEEE
16 years 3 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
ICASSP
2010
IEEE
15 years 2 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
142
Voted
MM
2010
ACM
207views Multimedia» more  MM 2010»
15 years 2 months ago
TalkMiner: a search engine for online lecture video
TalkMiner is a search engine for lecture webcasts. Lecture videos are processed to recover a set of distinct slide images and OCR is used to generate a list of indexable terms fro...
John Adcock, Matthew Cooper, Laurent Denoue, Hamed...
102
Voted
CVPR
2006
IEEE
16 years 3 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang
CORR
2011
Springer
151views Education» more  CORR 2011»
14 years 9 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...