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IJDAR
2010
169views more  IJDAR 2010»
13 years 8 months ago
A Bayesian network for combining descriptors: application to symbol recognition
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
Sabine Barrat, Salvatore Tabbone
WEA
2004
Springer
124views Algorithms» more  WEA 2004»
14 years 3 months ago
Experimental Studies of Symbolic Shortest-Path Algorithms
Abstract. Graphs can be represented symbolically by the Ordered Binary Decision Diagram (OBDD) of their characteristic function. To solve problems in such implicitly given graphs, ...
Daniel Sawitzki
ISSS
2002
IEEE
103views Hardware» more  ISSS 2002»
14 years 3 months ago
A Symbolic Approach for the Combined Solution of Scheduling and Allocation
Scheduling is widely recognized as a very important step in highlevel synthesis. Nevertheless, it is usually done without taking into account the effects on the actual hardware im...
Luciano Lavagno, Mihai T. Lazarescu, Stefano Quer,...
DAC
2008
ACM
14 years 11 months ago
Symbolic noise analysis approach to computational hardware optimization
This paper addresses the problem of computational error modeling and analysis. Choosing different word-lengths for each functional unit in hardware implementations of numerical al...
Arash Ahmadi, Mark Zwolinski
ICPR
2002
IEEE
14 years 11 months ago
Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection
This paper proposes a word segmentation method for machine-printed text lines. It utilizes gaps and special symbols as delimiters between words. A gap clustering technique is used...
Soo-Hyung Kim, Chang Bu Jeong, Hee K. Kwag, Ching ...