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» Online Amnesic Approximation of Streaming Time Series
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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
13 years 11 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
MSS
1999
IEEE
150views Hardware» more  MSS 1999»
13 years 9 months ago
Performance Benchmark Results for Automated Tape Library High Retrieval Rate Applications - Digital Check Image Retrievals
Benchmark tests have been designed and conducted for the purpose of evaluating the use of automated tape libraries in on-line digital check image retrieval applications. This type...
John Gniewek, George Davidson, Bowen Caldwell
ICDE
2005
IEEE
119views Database» more  ICDE 2005»
14 years 6 months ago
Data Triage: An Adaptive Architecture for Load Shedding in TelegraphCQ
Many of the data sources used in stream query processing are known to exhibit bursty behavior. Data in a burst often has different characteristics than steady-state data, and ther...
Frederick Reiss, Joseph M. Hellerstein
ICPR
2004
IEEE
14 years 6 months ago
Switching Particle Filters for Efficient Real-time Visual Tracking
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
Kenji Doya, Shin Ishii, Takashi Bando, Tomohiro Sh...
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
13 years 3 months ago
Real-time monocular SLAM: Why filter?
Abstract— While the most accurate solution to off-line structure from motion (SFM) problems is undoubtedly to extract as much correspondence information as possible and perform g...
Hauke Strasdat, J. M. M. Montiel, Andrew J. Daviso...