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» On Feature Extraction via Kernels
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ICANN
1997
Springer
14 years 2 months ago
Kernel Principal Component Analysis
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
HPCS
2007
IEEE
14 years 4 months ago
Semantically Enabling the Global Geodynamics Project: Incorporating Feature-Based Annotations via XML Pointer Language (XPointer
Earth Science Markup Language (ESML) is efficient and effective in representing scientific data in an XML-based formalism. However, features of the data being represented are no...
L. Ian Lumb, J. I. Lederman, J. R. Freemantle, Kei...
PAMI
2012
12 years 11 days ago
Rhythmic Brushstrokes Distinguish van Gogh from His Contemporaries: Findings via Automated Brushstroke Extraction
— Art historians have long observed the highly characteristic brushstroke styles of Vincent van Gogh and have relied on discerning these styles for authenticating and dating his ...
Jia Li, Lei Yao, Ella Hendriks, James Z. Wang
CVPR
2007
IEEE
14 years 12 months ago
Robust Estimation of Texture Flow via Dense Feature Sampling
Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This pap...
Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang
PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
14 years 4 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi