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SIGIR
2005
ACM
16 years 7 days ago
A phonotactic-semantic paradigm for automatic spoken document classification
We demonstrate a phonotactic-semantic paradigm for spoken document categorization. In this framework, we define a set of acoustic words instead of lexical words to represent acous...
Bin Ma, Haizhou Li
190
Voted
CICLING
2005
Springer
16 years 6 days ago
Incremental Information Extraction Using Tree-Based Context Representations
Abstract. The purpose of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic pro...
Christian Siefkes
ICIAR
2005
Springer
16 years 6 days ago
Multi-dimensional Color Histograms for Segmentation of Wounds in Images
The work investigates the use of multi dimensional histograms for segmentation of images of chronic wounds. We employ a Support Vector Machine (SVM) classifier for automatic extrac...
Marina Kolesnik, Ales Fexa
ICAISC
2004
Springer
16 years 2 days ago
Relevance LVQ versus SVM
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
Barbara Hammer, Marc Strickert, Thomas Villmann
SSPR
2004
Springer
16 years 22 hour ago
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Fatih Murat Porikli