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» Deriving Intrinsic Images from Image Sequences
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CVPR
2005
IEEE
14 years 11 months ago
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Omar Javed, Saad Ali, Mubarak Shah
ICML
2004
IEEE
14 years 10 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
PAMI
1998
128views more  PAMI 1998»
13 years 8 months ago
A Hierarchical Latent Variable Model for Data Visualization
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
Christopher M. Bishop, Michael E. Tipping
ICCV
2009
IEEE
13 years 6 months ago
Improving accuracy of geometric parameter estimation using projected score method
A fundamental problem in computer vision (CV) is the estimation of geometric parameters from multiple observations obtained from images; examples of such problems range from ellip...
Takayuki Okatani, Koichiro Deguchi
TIP
2011
89views more  TIP 2011»
13 years 4 months ago
Random Phase Textures: Theory and Synthesis
This paper explores the mathematical and algorithmic properties of two sample-based microtexture models: random phase noise (RPN ) and asymptotic discrete spot noise (ADSN ). Thes...
Bruno Galerne, Yann Gousseau, Jean-Michel Morel