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ISSRE
2003
IEEE
15 years 11 months ago
Incremental Dynamic Impact Analysis for Evolving Software Systems
Impact analysis – determining the potential effects of changes on a software system – plays an important role in helping engineers re-validate modified software. In previous ...
James Law, Gregg Rothermel
KBSE
1999
IEEE
15 years 10 months ago
Modular and Incremental Analysis of Concurrent Software Systems
Modularization and abstraction are the keys to practical verification and analysis of large and complex systems. We present in an incremental methodology for the automatic analysi...
Hassen Saïdi
CVPR
2009
IEEE
15 years 9 months ago
Nonlinear Nonnegative Component Analysis
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
Stefanos Zafeiriou, Maria Petrou
NIPS
2007
15 years 7 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
ICML
2006
IEEE
16 years 6 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade