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TNN
2011
200views more  TNN 2011»
15 years 1 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
TIT
2010
130views Education» more  TIT 2010»
15 years 1 months ago
Pseudo-random functions and parallelizable modes of operations of a block cipher
This paper considers the construction and analysis of pseudo-random functions (PRFs) with specific reference to modes of operations of a block cipher. In the context of message aut...
Palash Sarkar
TPDS
2010
154views more  TPDS 2010»
15 years 1 months ago
Adaptive Workload Prediction of Grid Performance in Confidence Windows
Predicting grid performance is a complex task because heterogeneous resource nodes are involved in a distributed environment. Long execution workload on a grid is even harder to pr...
Yongwei Wu, Kai Hwang, Yulai Yuan, Weimin Zheng
ICIP
2009
IEEE
16 years 7 months ago
Detection Of Forgery In Paintings Using Supervised Learning
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
CTRSA
2010
Springer
232views Cryptology» more  CTRSA 2010»
16 years 1 months ago
On Extended Sanitizable Signature Schemes
Sanitizable signature schemes allow a semi-trusted entity to modify some specific portions of a signed message while keeping a valid signature of the original off-line signer. In...
Sébastien Canard, Amandine Jambert