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» Regularized Learning with Networks of Features
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148
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PAMI
2012
13 years 2 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
IJCV
2006
299views more  IJCV 2006»
14 years 11 months ago
Graph Cuts and Efficient N-D Image Segmentation
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...
Yuri Boykov, Gareth Funka-Lea
JMLR
2010
147views more  JMLR 2010»
14 years 6 months ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
219
Voted

Book
340views
16 years 7 months ago
Essentials of the Java Programming Language, Part 1
"If you are new to programming in the Java language, have some experience with other languages, and are familiar with things like displaying text or graphics or performing sim...
By Monica Pawlan
ICIP
2005
IEEE
16 years 1 months ago
Trainable post-processing method to reduce false alarms in the detection of small blotches of archive films
We have developed a new semi-automatic neural network based method to detect blotches with low false alarm rate on archive films. Blotches can be modeled as temporal intensity disc...
Attila Licsár, László Cz&uacu...