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ICML
2006
IEEE
16 years 6 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
SSPR
2010
Springer
15 years 3 months ago
An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
Sang-Woon Kim, Robert P. W. Duin
ECCV
2010
Springer
15 years 9 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
186
Voted
TIP
2011
164views more  TIP 2011»
15 years 8 days ago
Multiregion Image Segmentation by Parametric Kernel Graph Cuts
Abstract—The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
ICIP
2008
IEEE
16 years 7 months ago
Using local regression kernels for statistical object detection
We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
Hae Jong Seo, Peyman Milanfar