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» Kernel methods and the exponential family
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ICIAR
2005
Springer
14 years 2 months ago
Soft-Switching Adaptive Technique of Impulsive Noise Removal in Color Images
In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter family is based on the kernel function which ...
Bogdan Smolka, Konstantinos N. Plataniotis
CVPR
2008
IEEE
14 years 10 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ACCV
2009
Springer
14 years 3 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu
CIKM
2007
Springer
14 years 2 months ago
Structure and semantics for expressive text kernels
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Stephan Bloehdorn, Alessandro Moschitti
ICASSP
2011
IEEE
13 years 6 days ago
Compact support kernels based time-frequency distributions: Performance evaluation
This paper presents two new time-frequency distributions based on kernels with compact support (KCS) namely the separable CB (SCB) and the polynomial CB (PCB) TFDs. The implementa...
Mansour Abed, Adel Belouchrani, Mohamed Cheriet, B...