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» Learning from Multiple Sources of Inaccurate Data
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PDIS
1996
IEEE
14 years 27 days 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»
13 years 8 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
ICCV
2009
IEEE
13 years 6 months 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...
TASLP
2010
134views more  TASLP 2010»
13 years 3 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
FLAIRS
2006
13 years 10 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...