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» Support vector machine for functional data classification
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AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
15 years 10 months ago
LUT-Based Adaboost for Gender Classification
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
Bo Wu, Haizhou Ai, Chang Huang
CVPR
2007
IEEE
16 years 8 months ago
Image Classification with Segmentation Graph Kernels
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
Francis Bach, Zaïd Harchaoui
CAISE
1999
Springer
15 years 10 months ago
Towards a Classification Framework for Application Granularity in Workflow Management Systems
The support of process enactment through the use of workflow management systems has gained considerable attention within the last few years. We develop a classification framework c...
Jörg Becker, Michael zur Muehlen
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 10 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
ICMLC
2010
Springer
15 years 4 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu