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» Dynamically Adapting Kernels in Support Vector Machines
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ICML
2010
IEEE
15 years 5 months ago
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Mingkui Tan, Li Wang, Ivor W. Tsang
ICPR
2002
IEEE
16 years 5 months ago
Fusion of Global and Local Features for Face Verification
In this paper, a novel personalized feature combination scheme is proposed for face verification. ANFIS (Adaptive Neuro-Fuzzy Inference System) and SVM (Support Vector Machine) ar...
Yuchun Fang, Tieniu Tan, Yunhong Wang
ICAC
2006
IEEE
15 years 10 months ago
Autonomic Live Adaptation of Virtual Computational Environments in a Multi-Domain Infrastructure
A shared distributed infrastructure is formed by federating computation resources from multiple domains. Such shared infrastructures are increasing in popularity and are providing...
Paul Ruth, Junghwan Rhee, Dongyan Xu, Rick Kennell...
ICIP
2003
IEEE
16 years 6 months ago
Classification-based spatial error concealment for images
* This paper presents a new, classification-based spatial error concealment algorithm for images. The proposed scheme takes advantage of two state-of-the-art concealment schemes an...
M. Chen, M. Wu, Y. Zheng
PRICAI
2000
Springer
15 years 8 months ago
A Comparative Study on Chinese Text Categorization Methods
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to Engli...
Ji He, Ah-Hwee Tan, Chew Lim Tan