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JGAA
2007
135views more  JGAA 2007»
15 years 6 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
PRL
2002
70views more  PRL 2002»
15 years 6 months ago
On the use of nearest feature line for speaker identification
As a new pattern classification method, nearest feature line (NFL) provides an effective way to tackle the sort of pattern recognition problems where only limited data are availab...
Ke Chen 0001, Ting-Yao Wu, HongJiang Zhang
ICPR
2010
IEEE
15 years 4 months ago
Rectifying Non-Euclidean Similarity Data Using Ricci Flow Embedding
Similarity based pattern recognition is concerned with the analysis of patterns that are specified in terms of object dissimilarity or proximity rather than ordinal values. For man...
Weiping Xu, Edwin R. Hancock, Richard C. Wilson
JOT
2008
100views more  JOT 2008»
15 years 6 months ago
Panda: a Pattern-based Programming System for Automatic Code Generation
This article provides an overview of a pattern-based programming system, named Panda, for automatic generation of high-level programming language code. Many code generation system...
Daniele Mazzeranghi
INFOVIS
2002
IEEE
15 years 11 months ago
Arc Diagrams: Visualizing Structure in Strings
This paper introduces a new visualization method, the arc diagram, which is capable of representing complex patterns of repetition in string data. Arc diagrams improve over previo...
Martin Wattenberg