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» New Algorithms for Fast Discovery of Association Rules
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KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 3 months ago
Fast mining of spatial collocations
Spatial collocation patterns associate the co-existence of nonspatial features in a spatial neighborhood. An example of such a pattern can associate contaminated water reservoirs ...
Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao ...
ICASSP
2011
IEEE
14 years 1 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
NIPS
2003
14 years 11 months ago
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
Claudio Gentile
MVA
1994
195views Computer Vision» more  MVA 1994»
14 years 11 months ago
A Fast Corner Detection Algorithm Based on Area Deviation
A new algorithm, based on area-deviation, is proposed for the detection of corner points of digitized curves. The algorithm consists of two steps. In the first step, a fixed-lengt...
Hao Zhou, Lejun Shao
ICIP
2007
IEEE
15 years 11 months ago
Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography
Discrete tomography (DT) is concerned with the tomographic reconstruction of images that consist of only a small number of gray levels. DT reconstruction problems are usually unde...
Kees Joost Batenburg, Jan Sijbers