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CIBCB
2009
IEEE
13 years 8 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
ICASSP
2010
IEEE
13 years 7 months ago
Rate-distortion optimized transform for intra-frame coding
In this paper, a novel algorithm is proposed for intra-frame coding, named as rate-distortion optimized transform (RDOT). Unlike existing intra-frame coding schemes where the tran...
Xin Zhao, Li Zhang, Siwei Ma, Wen Gao
PR
2007
133views more  PR 2007»
13 years 7 months ago
Incorporating multiple SVMs for automatic image annotation
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
Xiaojun Qi, Yutao Han
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 8 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
TC
2008
13 years 7 months ago
Exploiting In-Memory and On-Disk Redundancy to Conserve Energy in Storage Systems
Abstract--Today's storage systems place an imperative demand on energy efficiency. A storage system often places single-rotationrate disks into standby mode by stopping them f...
Jun Wang, Xiaoyu Yao, Huijun Zhu