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JMIV
2000
90views more  JMIV 2000»
15 years 2 months ago
Invariants to Convolution in Arbitrary Dimensions
Processing of multidimensional image data which were acquired by a linear imaging system of unknown point-spread function (PSF) is an important problem whose solution usually requi...
Jan Flusser, Jirí Boldys, Barbara Zitov&aac...
CORR
2010
Springer
155views Education» more  CORR 2010»
15 years 2 months ago
Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies
Design and simulation of future mobile networks will center around human interests and behavior. We propose a design paradigm for mobile networks driven by realistic models of use...
Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas ...
IDEAS
2008
IEEE
105views Database» more  IDEAS 2008»
15 years 9 months ago
Pruning attribute values from data cubes with diamond dicing
Data stored in a data warehouse are inherently multidimensional, but most data-pruning techniques (such as iceberg and top-k queries) are unidimensional. However, analysts need to...
Hazel Webb, Owen Kaser, Daniel Lemire
SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
15 years 3 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 8 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...