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» Minimal Kernel Classifiers
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JMLR
2006
124views more  JMLR 2006»
14 years 9 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
JCP
2006
78views more  JCP 2006»
14 years 9 months ago
Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
Ling Zhuang, Honghua Dai
ICASSP
2010
IEEE
14 years 9 months ago
Training a support vector machine to classify signals in a real environment given clean training data
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum...
ECCV
2010
Springer
14 years 11 months ago
Improving the Fisher Kernel for Large-Scale Image Classification
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
CAIP
2007
Springer
109views Image Analysis» more  CAIP 2007»
15 years 1 months ago
Hierarchical Classifiers for Detection of Fractures in X-Ray Images
Fracture of the bone is a very serious medical condition. In clinical practice, a tired radiologist has been found to miss fracture cases after looking through many images containi...
Joshua Congfu He, Wee Kheng Leow, Tet Sen Howe