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MCS
2010
Springer
14 years 9 months ago
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, Da...
JMLR
2010
185views more  JMLR 2010»
14 years 5 months ago
Multiple Kernel Learning on the Limit Order Book
Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both individually and simultaneously...
Tristan Fletcher, Zakria Hussain, John Shawe-Taylo...
ACL
2012
13 years 1 months ago
String Re-writing Kernel
Learning for sentence re-writing is a fundamental task in natural language processing and information retrieval. In this paper, we propose a new class of kernel functions, referre...
Fan Bu, Hang Li, Xiaoyan Zhu
IWDW
2005
Springer
15 years 4 months ago
On the Achievable Rate of Side Informed Embedding Techniques with Steganographic Constraints
The development of watermarking schemes in the literature is generally guided by a power constraint on the watermark to be embedded into the host. In a steganographic framework the...
Mark T. Hogan, Félix Balado, Neil J. Hurley...
HICSS
2003
IEEE
129views Biometrics» more  HICSS 2003»
15 years 4 months ago
Experimental Studies and Modeling of an Information Embedded Power System
This paper develops a model of an electrical power system, with its inherent embedded communication system, for the purpose of studying the characteristics of power system measure...
Stephen P. Carullo, Chika Nwankpa