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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
14 years 1 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
CVPR
2009
IEEE
15 years 2 months ago
Co-training with Noisy Perceptual Observations
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
EDBT
2009
ACM
119views Database» more  EDBT 2009»
13 years 10 months ago
Unrestricted wavelet synopses under maximum error bound
Constructing Haar wavelet synopses under a given approximation error has many real world applications. In this paper, we take a novel approach towards constructing unrestricted Ha...
Chaoyi Pang, Qing Zhang, David P. Hansen, Anthony ...
ICS
2009
Tsinghua U.
14 years 2 months ago
High-performance regular expression scanning on the Cell/B.E. processor
Matching regular expressions (regexps) is a very common workload. For example, tokenization, which consists of recognizing words or keywords in a character stream, appears in ever...
Daniele Paolo Scarpazza, Gregory F. Russell
CORR
2004
Springer
127views Education» more  CORR 2004»
13 years 7 months ago
Monitoring, Analyzing, and Controlling Internet-scale Systems with ACME
Analyzing and controlling large distributed services under a wide range of conditions is difficult. Yet these capabilities are essential to a number of important development and o...
David L. Oppenheimer, Vitaliy Vatkovskiy, Hakim We...