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» Exploiting nonstationarity for performance prediction
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PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
13 years 11 months ago
Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance
In many cases, normal uses of a system form patterns that will repeat. The most common patterns can be collected into a prediction model which will essentially predict that usage p...
Benjamin Rutt, Srinivasan Parthasarathy
ISCAS
2005
IEEE
122views Hardware» more  ISCAS 2005»
13 years 11 months ago
F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation
— We present a frequency-domain method of noisy convolutive source separation, where we extends the SEONS algorithm [2] that jointly exploits the nonstationarity and temporal str...
Inseon Jang, Kyeongok Kang, Sangki Kim, Seungjin C...
VLSISP
2002
72views more  VLSISP 2002»
13 years 5 months ago
Second Order Nonstationary Source Separation
This paper addresses a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources. The method needs only multiple time-delayed co...
Seungjin Choi, Andrzej Cichocki, Adel Belouchrani
MCS
2007
Springer
13 years 6 months ago
Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets
Abstract. Ensembles are often capable of greater predictive performance than any of their individual classifiers. Despite the need for classifiers to make different kinds of err...
Nitesh V. Chawla, Jared Sylvester
ICIP
2010
IEEE
13 years 4 months ago
Transform-domain temporal prediction in video coding: Exploiting correlation variation across coefficients
Temporal prediction in standard video coding is performed in the spatial domain, where each pixel is predicted from a motioncompensated reconstructed pixel in a prior frame. This ...
Jingning Han, Vinay Melkote, Kenneth Rose