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» Effective Change Detection Using Sampling
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TSP
2008
117views more  TSP 2008»
13 years 5 months ago
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
R. R. Nadakuditi, A. Edelman
DASFAA
2007
IEEE
183views Database» more  DASFAA 2007»
13 years 11 months ago
BioDIFF: An Effective Fast Change Detection Algorithm for Biological Annotations
Abstract. Warehousing heterogeneous, dynamic biological data is a key technique for biological data integration as it greatly improves performance. However, it requires complex mai...
Yang Song, Sourav S. Bhowmick, C. Forbes Dewey
GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
13 years 10 months ago
The Effect of Binary Matching Rules in Negative Selection
Negative selection algorithm is one of the most widely used techniques in the field of artificial immune systems. It is primarily used to detect changes in data/behavior patterns...
Fabio A. González, Dipankar Dasgupta, Jonat...
CORR
2011
Springer
207views Education» more  CORR 2011»
13 years 9 days ago
Detection of Spatial Changes using Spatial Data Mining
This paper uses the techniques of spatial data mining (SDM) and change detection (CD) in the field of geospatial information processing. Assuming the feasibility of discovering kno...
B. G. Kodge, P. S. Hiremath
ESEM
2007
ACM
13 years 9 months ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...