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» Large-Scale Support Vector Learning with Structural Kernels
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BMCBI
2008
114views more  BMCBI 2008»
13 years 8 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
CVPR
2008
IEEE
14 years 10 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
ACL
2006
13 years 10 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
13 years 7 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
ICIP
2005
IEEE
14 years 10 months ago
Extended direct mode for hierarchical B picture coding
In 3D subband coding, Motion-Compensated Temporal Filtering (MCTF) technique, especially with the adaptive 5/3 wavelet kernel, efficiently exploits the temporal correlation among n...
Jiali Zheng, Xiangyang Ji, Guangnan Ni, Wen Gao, F...