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» Feature selection for linear support vector machines
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SIGIR
2003
ACM
14 years 1 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
AIRS
2006
Springer
13 years 12 months ago
A Semantic Fusion Approach Between Medical Images and Reports Using UMLS
One of the main challenges in content-based image retrieval still remains to bridge the gap between low-level features and semantic information. In this paper, we present our first...
Daniel Racoceanu, Caroline Lacoste, Roxana Teodore...
DAS
2006
Springer
13 years 12 months ago
Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
Abstract. This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recogniti...
Bilan Zhu, Junko Tokuno, Masaki Nakagawa
ECCV
2006
Springer
13 years 12 months ago
Robust Multi-view Face Detection Using Error Correcting Output Codes
Abstract. This paper presents a novel method to solve multi-view face detection problem by Error Correcting Output Codes (ECOC). The motivation is that face patterns can be divided...
Hongming Zhang, Wen Gao, Xilin Chen, Shiguang Shan...
ECIR
2010
Springer
13 years 9 months ago
A Framework for Evaluating Automatic Image Annotation Algorithms
Several Automatic Image Annotation (AIA) algorithms have been introduced recently, which have been found to outperform previous models. However, each one of them has been evaluated...
Konstantinos Athanasakos, Vassilios Stathopoulos, ...