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PR
2006
102views more  PR 2006»
14 years 9 months ago
Prototype selection for dissimilarity-based classifiers
A conventional way to discriminate between objects represented by dissimilarities is the nearest neighbor method. A more efficient and sometimes a more accurate solution is offere...
Elzbieta Pekalska, Robert P. W. Duin, Pavel Pacl&i...
ET
2008
92views more  ET 2008»
14 years 9 months ago
Hardware and Software Transparency in the Protection of Programs Against SEUs and SETs
Processor cores embedded in systems-on-a-chip (SoCs) are often deployed in critical computations, and when affected by faults they may produce dramatic effects. When hardware harde...
Eduardo Luis Rhod, Carlos Arthur Lang Lisbôa...
NIPS
2008
14 years 11 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
CCGRID
2008
IEEE
15 years 4 months ago
On the Optimization of Resource Utilization in Distributed Multimedia Applications
—The application and research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and...
R. Yang, Robert D. van der Mei, D. Roubos, Frank J...