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TJS
2008
113views more  TJS 2008»
13 years 7 months ago
Improving the parallelism of iterative methods by aggressive loop fusion
Abstract. Traditionally, loop nests are fused only when the data dependences in the loop nests are not violated. This paper presents a new loop fusion algorithm that is capable of ...
Jingling Xue, Minyi Guo, Daming Wei
INFFUS
2002
162views more  INFFUS 2002»
13 years 7 months ago
Fusion of multiple classifiers
The security of computer networks plays a strategic role in modern computer systems. In order to enforce high protection levels against threats, a number of software tools have be...
Fabio Roli, Josef Kittler
MCS
2002
Springer
13 years 7 months ago
Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
Fabio Roli, Giorgio Fumera
JUCS
2010
121views more  JUCS 2010»
13 years 6 months ago
Some Views on Information Fusion and Logic Based Approaches in Decision Making under Uncertainty
: Decision making under uncertainty is a key issue in information fusion and logic based reasoning approaches. The aim of this paper is to show noteworthy theoretical and applicati...
Yang Xu, Jun Liu, Luis Martínez, Da Ruan
DMIN
2009
142views Data Mining» more  DMIN 2009»
13 years 5 months ago
A Combinatorial Fusion Method for Feature Construction
- This paper demonstrates how methods borrowed from information fusion can improve the performance of a classifier by constructing (i.e., fusing) new features that are combinations...
Ye Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma