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ACCV
2010
Springer
15 years 3 months ago
Identifying Surprising Events in Videos Using Bayesian Topic Models
Automatic processing of video data is essential in order to allow efficient access to large amounts of video content, a crucial point in such applications as video mining and surve...
Avishai Hendel, Daphna Weinshall, Shmuel Peleg
ICONIP
2008
15 years 2 months ago
Frost Prediction Characteristics and Classification Using Computational Neural Networks
The effect of frost on the successful growth and quality of crops is well understood by growers as leading potentially to total harvest failure. Studying the frost phenomenon, espe...
Philip Sallis, Mary Carmen Jarur Muñoz, Mar...
NECO
2000
86views more  NECO 2000»
15 years 28 days ago
A Bayesian Committee Machine
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Volker Tresp
ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 8 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
CIKM
2011
Springer
14 years 1 months ago
Scalable entity matching computation with materialization
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...
Sanghoon Lee, Jongwuk Lee, Seung-won Hwang