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JCSS
2008
138views more  JCSS 2008»
13 years 7 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
ACCESSNETS
2009
Springer
13 years 11 months ago
Utility Max-Min Fair Resource Allocation for Diversified Applications in EPON
In EPONs, differentiated services enable higher quality of service (QoS) for some queues over others. However, owing to the coarse granularity of DiffServ, DiffServ in EPONs can ha...
Jingjing Zhang, Nirwan Ansari
CVPR
2008
IEEE
14 years 9 months ago
ANSIG - An analytic signature for permutation-invariant two-dimensional shape representation
Many applications require a computer representation of 2D shape, usually described by a set of 2D points. The challenge of this representation is that it must not only capture the...
José J. Rodrigues, Pedro M. Q. Aguiar, Jo&a...
ENTCS
2007
158views more  ENTCS 2007»
13 years 7 months ago
Abstraction and Completeness for Real-Time Maude
ion and Completeness for Real-Time Maude Peter Csaba ¨Olveczky a,b and Jos´e Meseguer b a Department of Informatics, University of Oslo b Department of Computer Science, Universi...
Peter Csaba Ölveczky, José Meseguer
NPL
2006
130views more  NPL 2006»
13 years 7 months ago
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...