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TNN
2010
159views Management» more  TNN 2010»
15 years 1 months ago
Multiple incremental decremental learning of support vector machines
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
Masayuki Karasuyama, Ichiro Takeuchi
ACNS
2011
Springer
231views Cryptology» more  ACNS 2011»
14 years 10 months ago
Cold Boot Key Recovery by Solving Polynomial Systems with Noise
A method for extracting cryptographic key material from DRAM used in modern computers has been recently proposed in [9]; the technique was called Cold Boot attacks. When considerin...
Martin Albrecht, Carlos Cid
ASPLOS
2011
ACM
14 years 10 months ago
Improving software diagnosability via log enhancement
Diagnosing software failures in the field is notoriously difficult, in part due to the fundamental complexity of trouble-shooting any complex software system, but further exacer...
Ding Yuan, Jing Zheng, Soyeon Park, Yuanyuan Zhou,...
JMLR
2012
13 years 8 months ago
A General Framework for Structured Sparsity via Proximal Optimization
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
JMLR
2012
13 years 8 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li