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» Learning from Multiple Sources of Inaccurate Data
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149
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PDIS
1996
IEEE
15 years 6 months ago
The Strobe Algorithms for Multi-Source Warehouse Consistency
A warehouse is a data repository containing integrated information for e cient querying and analysis. Maintaining the consistency of warehouse data is challenging, especially if t...
Yue Zhuge, Hector Garcia-Molina, Janet L. Wiener
INFFUS
2006
85views more  INFFUS 2006»
15 years 2 months ago
Fusionplex: resolution of data inconsistencies in the integration of heterogeneous information sources
Fusionplex is a system for integrating multiple heterogeneous and autonomous information sources that uses data fusion to resolve factual inconsistencies among the individual sour...
Amihai Motro, Philipp Anokhin
105
Voted
ICCV
2009
IEEE
15 years 8 days ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
133
Voted
TASLP
2010
134views more  TASLP 2010»
14 years 9 months ago
Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions
This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) estimation for a mixture of harmonic sound sources, where the power spectrum of a time fra...
Zhiyao Duan, Bryan Pardo, Changshui Zhang
112
Voted
FLAIRS
2006
15 years 3 months ago
One-Shot Procedure Learning from Instruction and Observation
Learning tasks from a single demonstration presents a significant challenge because the observed sequence is inherently an incomplete representation of the procedure that is speci...
Hyuckchul Jung, James F. Allen, Nathanael Chambers...