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NIPS
2003
15 years 8 months ago
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
AAAI
2000
15 years 8 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum
ACL
1998
15 years 8 months ago
Improving Data Driven Wordclass Tagging by System Combination
In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the b...
Hans van Halteren, Jakub Zavrel, Walter Daelemans
ICML
2010
IEEE
15 years 7 months ago
Music Plus One and Machine Learning
A system for musical accompaniment is presented in which a computer-driven orchestra follows and learns from a soloist in a concerto-like setting. The system is decomposed into th...
Christopher Raphael
ICPR
2010
IEEE
15 years 6 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...