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ICASSP
2009
IEEE
15 years 8 months ago
High-level feature extraction using SVM with walk-based graph kernel
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh...
TRECVID
2008
15 years 6 months ago
ISM TRECVID2008 High-level Feature Extraction
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh...
ACL
2010
15 years 2 months ago
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
Georgios Paltoglou, Mike Thelwall
FI
2010
130views more  FI 2010»
15 years 2 months ago
Improving Anomaly Detection for Text-Based Protocols by Exploiting Message Structures
: Service platforms using text-based protocols need to be protected against attacks. Machine-learning algorithms with pattern matching can be used to detect even previously unknown...
Martin Güthle, Jochen Kögel, Stefan Wahl...
ICDAR
2011
IEEE
14 years 4 months ago
Identification of Indic Scripts on Torn-Documents
—Questioned Document Examination processes often encompass analysis of torn documents. To aid a forensic expert, automatic classification of content type in torn documents might ...
Sukalpa Chanda, Katrin Franke, Umapada Pal