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JMLR
2006
89views more  JMLR 2006»
13 years 9 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
ICPR
2010
IEEE
13 years 7 months ago
Learning the Kernel Combination for Object Categorization
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
Deyuan Zhang, Xiaolong Wang, Bingquan Liu
ICPR
2004
IEEE
14 years 10 months ago
Object Classification with Multi-Scale Autoconvolution
This paper assesses the recently proposed affine invariant image transform called Multi-Scale Autoconvolution (MSA) in some practical object classification problems. A classificat...
Esa Rahtu, Janne Heikkilä
SMC
2007
IEEE
113views Control Systems» more  SMC 2007»
14 years 3 months ago
Robust multi-modal biometric fusion via multiple SVMs
—Existing learning-based multi-modal biometric fusion techniques typically employ a single static Support Vector Machine (SVM). This type of fusion improves the accuracy of biome...
Sabra Dinerstein, Jonathan Dinerstein, Dan Ventura
ICADL
2005
Springer
91views Education» more  ICADL 2005»
14 years 2 months ago
Image Classification for Digital Archive Management
As tools and systems for producing and disseminating image data have improved significantly in recent years, the volume of digital images has grown rapidly. An efficient mechanism ...
Cheng-Hung Li, Chih-Yi Chiu, Hsiang-An Wang