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IJCV
2007
196views more  IJCV 2007»
13 years 9 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
TCSV
2008
291views more  TCSV 2008»
13 years 9 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
TNN
2008
128views more  TNN 2008»
13 years 9 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
TMI
1998
175views more  TMI 1998»
13 years 9 months ago
A Harmonic Decomposition Reconstruction Algorithm for Spatially-Varying Focal Length Collimators
—Spatially varying focal length fan-beam collimators can be used in single photon emission computed tomography to improve detection efficiency and to reduce reconstruction artif...
Jiangsheng You, Zhengrong Liang, Shanglian Bao
TMM
2002
109views more  TMM 2002»
13 years 9 months ago
Smart rebinning for the compression of concentric mosaic
The concentric mosaic offers a quick solution to construct a virtual copy of a real environment, and to navigate in that virtual environment. However, the huge amount of data asso...
Yunnan Wu, Cha Zhang, Jin Li