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SMALLTALK
2007
Springer
15 years 10 months ago
Object flow analysis: taking an object-centric view on dynamic analysis
To extract abstract views of the behavior of an object-oriented system for reverse engineering, a body of research exists that analyzes a system’s runtime execution. Those approa...
Adrian Lienhard, Stéphane Ducasse, Tudor G&...
IDA
1998
Springer
15 years 4 months ago
Fast Dimensionality Reduction and Simple PCA
A fast and simple algorithm for approximately calculating the principal components (PCs) of a data set and so reducing its dimensionality is described. This Simple Principal Compo...
Matthew Partridge, Rafael A. Calvo
CVPR
2006
IEEE
16 years 6 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán
ICCV
1999
IEEE
15 years 9 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
ACL
2004
15 years 6 months ago
A Kernel PCA Method for Superior Word Sense Disambiguation
We introduce a new method for disambiguating word senses that exploits a nonlinear Kernel Principal Component Analysis (KPCA) technique to achieve accuracy superior to the best pu...
Dekai Wu, Weifeng Su, Marine Carpuat