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» Spoken emotion recognition using hierarchical classifiers
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AAAI
2004
15 years 2 months ago
Just How Mad Are You? Finding Strong and Weak Opinion Clauses
There has been a recent swell of interest in the automatic identification and extraction of opinions and emotions in text. In this paper, we present the first experimental results...
Theresa Wilson, Janyce Wiebe, Rebecca Hwa
TASLP
2008
98views more  TASLP 2008»
15 years 1 months ago
An Integrative and Discriminative Technique for Spoken Utterance Classification
Abstract-- Traditional methods of spoken utterance classification (SUC) adopt two independently trained phases. In the first phase, an automatic speech recognition (ASR) module ret...
Sibel Yaman, Li Deng, Dong Yu, Ye-Yi Wang, Alex Ac...
CVPR
2010
IEEE
15 years 9 days ago
Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data
We present a hierarchical principle for object recognition and its application to automatically classify developmental stages of C. elegans animals from a population of mixed stag...
Amelia White, Huey-Ling Kao, Patricia Cipriani, Br...
MMM
2005
Springer
202views Multimedia» more  MMM 2005»
15 years 6 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
Ross Brown, Binh Pham
ACII
2007
Springer
15 years 7 months ago
Lexical Affect Sensing: Are Affect Dictionaries Necessary to Analyze Affect?
Recently, there has been considerable interest in the automated recognition of affect from written and spoken language. In this paper, we investigate how information on a speakerâ€...
Alexander Osherenko, Elisabeth André