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PAMI
2006
127views more  PAMI 2006»
15 years 5 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
NLE
2007
78views more  NLE 2007»
15 years 4 months ago
Choosing the content of textual summaries of large time-series data sets
Natural Language Generation (NLG) can be used to generate textual summaries of numeric data sets. In this paper we develop an architecture for generating short (a few sentences) s...
Jin Yu, Ehud Reiter, Jim Hunter, Chris Mellish
PR
2007
84views more  PR 2007»
15 years 4 months ago
Attention-based similarity
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of feature...
Fred Stentiford
ICPR
2010
IEEE
15 years 3 months ago
An Optimum Class-Rejective Decision Rule and Its Evaluation
Decision-making systems intend to copy human reasoning which often consists in eliminating highly non probable situations (e.g. diseases, suspects) rather than selecting the most r...
Hoel Le Capitaine, Carl Frélicot
IPPS
2002
IEEE
15 years 10 months ago
Compiler-Directed I/O Optimization
Despite continued innovations in design of I/O systems, I/O performance has not kept pace with the progress in processor and communication technology. This paper addresses this I/...
Mahmut T. Kandemir, Alok N. Choudhary