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ICASSP
2008
IEEE
15 years 9 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
COLING
2002
15 years 2 months ago
Multi-Dimensional Text Classification
This paper proposes a multi-dimensional framework for classifying text documents. In this framework, the concept of multidimensional category model is introduced for representing ...
Thanaruk Theeramunkong, Verayuth Lertnattee
130
Voted
ICML
2009
IEEE
16 years 3 months ago
Learning non-redundant codebooks for classifying complex objects
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
Wei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Di...
ICDAR
2009
IEEE
15 years 7 days ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
110
Voted
CHI
2002
ACM
16 years 2 months ago
Popout prism: adding perceptual principles to overview+detail document interfaces
We present an overview+detail document interface that draws on perceptual principles to help users work with documents. Central to our approach is the use of improved document ove...
Bongwon Suh, Allison Woodruff, Ruth Rosenholtz, Al...