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» A method of vector processing for shared symbolic data
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ICDAR
2009
IEEE
14 years 3 months ago
Online Recognition of Multi-Stroke Symbols with Orthogonal Series
We propose an efficient method to recognize multi-stroke handwritten symbols. The method is based on computing the truncated Legendre-Sobolev expansions of the coordinate functio...
Oleg Golubitsky, Stephen M. Watt
CVPR
2001
IEEE
14 years 10 months ago
Dimension Recognition and Geometry Reconstruction in Vectorization of Engineering Drawings
This paper presents a novel approach for recognizing and interpreting dimensions in engineering drawings. It starts by detecting potential dimension frames, each comprising only t...
Feng Su, Jiqiang Song, Chiew-Lan Tai, Shijie Cai
CORR
2008
Springer
80views Education» more  CORR 2008»
13 years 8 months ago
Multi-Layer Perceptrons and Symbolic Data
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multila...
Fabrice Rossi, Brieuc Conan-Guez
GEOINFORMATICA
1998
79views more  GEOINFORMATICA 1998»
13 years 8 months ago
Symbolic Intersect Detection: A Method for Improving Spatial Intersect Joins
Due to the increasing popularity of spatial databases, researchers have focused their efforts on improving the query processing performance of the most expensive spatial database ...
Yun-Wu Huang, Matthew C. Jones, Elke A. Rundenstei...
BMCBI
2007
215views more  BMCBI 2007»
13 years 8 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer