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CVPR
2000
IEEE
16 years 7 months ago
Line Net Global Vectorization: an Algorithm and Its Performance Evaluation
In this paper, an efficient global algorithm for vectorizing line drawings is presented. It first extracts a seed segment of a graphic entity from a raster image to obtain its dir...
Jiqiang Song, Feng Su, Jibing Chen, Chiew-Lan Tai,...
AAAI
2011
14 years 5 months ago
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
Yu-Feng Li, Zhi-Hua Zhou
164
Voted
WSCG
2003
179views more  WSCG 2003»
15 years 6 months ago
Antipole Clustering for Fast Texture Synthesis
This paper describes a new method for analysis/synthesis of textures using a non-parametric multi-resolution approach able to reproduce efficiently the generative stochastic proce...
Sebastiano Battiato, Alfredo Pulvirenti, Diego Ref...
ICDAR
1999
IEEE
15 years 9 months ago
Binarization of Document Images using Hadamard Multiresolution Analysis
In this article, we propose a new method that combines the use of a global threshold and a window-based scheme for computing local thresholds. The latter scheme compares the contr...
Fu Chang, Kung-Hao Liang, Tzu-Ming Tan, Wen-Liang ...
MLMI
2005
Springer
15 years 10 months ago
Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integr
Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...
Andrey Temko, Dusan Macho, Climent Nadeu