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CIKM
2010
Springer
15 years 3 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
ICCV
2001
IEEE
16 years 8 months ago
The Space of All Stereo Images
A theory of stereo image formation is presented that enables a complete classification of all possible stereo views, including non-perspective varieties. Towards this end, the not...
Steven M. Seitz
ECCV
2004
Springer
16 years 8 months ago
Learning Outdoor Color Classification from Just One Training Image
We present an algorithm for color classification with explicit illuminant estimation and compensation. A Gaussian classifier is trained with color samples from just one training im...
Roberto Manduchi
ECCV
1992
Springer
16 years 8 months ago
Boundary Detection in Piecewise Homogeneous Textured Images
We address the problem of scale selection in texture analysis. Two di erent scale parameters, feature scale and statistical scale, are dened. Statistical scale is the size of the r...
Stefano Casadei, Sanjoy K. Mitter, Pietro Perona
ICIP
2009
IEEE
16 years 7 months ago
Dequantizing Compressed Sensing With Non-gaussian Constraints
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...