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ICIP
2009
IEEE
16 years 6 months ago
Weighted Average Denoising With Sparse Orthonormal Transforms
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...
205
Voted
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 9 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
157
Voted
IWPSE
2005
IEEE
15 years 10 months ago
EvoLens: Lens-View Visualizations of Evolution Data
Visualizing software evolution is essential for identifying design erosions that have occurred over the past releases. Making evolutionary aspects explicit via visual representati...
Jacek Ratzinger, Michael Fischer, Harald Gall
ICSE
2009
IEEE-ACM
15 years 2 months ago
Improving conflict resolution in model versioning systems
Collaborative software development is nowadays inconceivable without optimistic version control systems (VCSs). Without such systems the parallel modification of one artifact by m...
Petra Broschy
AAIM
2006
Springer
143views Algorithms» more  AAIM 2006»
15 years 11 months ago
A Compression-Boosting Transform for Two-Dimensional Data
We introduce a novel invertible transform for two-dimensional data which has the objective of reordering the matrix so it will improve its (lossless) compression at later stages. T...
Qiaofeng Yang, Stefano Lonardi, Avraham Melkman