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CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 10 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
ICMI
2010
Springer
217views Biometrics» more  ICMI 2010»
14 years 8 months ago
Focusing computational visual attention in multi-modal human-robot interaction
Identifying verbally and non-verbally referred-to objects is an important aspect of human-robot interaction. Most importantly, it is essential to achieve a joint focus of attentio...
Boris Schauerte, Gernot A. Fink
114
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AAAI
2012
13 years 15 days ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld
SEMCO
2007
IEEE
15 years 4 months ago
Cross-Genre Feature Comparisons for Spoken Sentence Segmentation
Automatic sentence segmentation of spoken language is an important precursor to downstream natural language processing. Previous studies combine lexical and prosodic features, but...
Sébastien Cuendet, Dilek Z. Hakkani-Tü...
ICIP
2000
IEEE
15 years 11 months ago
Integrating Visual, Audio and Text Analysis for News Video
In this paper, we present a system developed for content-based broadcasted news video browsing for home users. There are three main factors that distinguish our work from other si...
Wei Qi, Lie Gu, Hao Jiang, Xiang-Rong Chen, HongJi...