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» Using Clustering Methods for Discovering Event Structures
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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 7 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
109
Voted
TRECVID
2007
15 years 4 months ago
Summarizing BBC Rushes the Informedia Way
For the first time in 2007, TRECVID considered structured evaluation of automated video summarization, utilizing BBC rushes video. This paper discusses in detail our approaches fo...
Alexander G. Hauptmann, Michael G. Christel, Wei-H...
APVIS
2009
15 years 4 months ago
Correlation study of time-varying multivariate climate data sets
We present a correlation study of time-varying multivariate volumetric data sets. In most scientific disciplines, to test hypotheses and discover insights, scientists are interest...
Jeffrey Sukharev, Chaoli Wang, Kwan-Liu Ma, Andrew...
138
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TASLP
2008
141views more  TASLP 2008»
15 years 3 months ago
Unsupervised Pattern Discovery in Speech
We present a novel approach to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where t...
A. S. Park, J. R. Glass
119
Voted
EMNLP
2009
15 years 1 months ago
Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
This paper presents a new method of developing a large-scale hyponymy relation database by combining Wikipedia and other Web documents. We attach new words to the hyponymy databas...
Ichiro Yamada, Kentaro Torisawa, Jun'ichi Kazama, ...