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SDM
2011
SIAM
241views Data Mining» more  SDM 2011»
14 years 7 months ago
A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
Yunlong He, Renato Monteiro, Haesun Park
MMM
2010
Springer
157views Multimedia» more  MMM 2010»
16 years 1 months ago
A Novel Trajectory Clustering Approach for Motion Segmentation
We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningfu...
Matthias Zeppelzauer, Maia Zaharieva, Dalibor Mitr...
WOSP
2000
ACM
15 years 9 months ago
How system architectures impede interoperability
Interoperability problems arise when complex software systems are constructed by integrating distinct, and often heterogeneous, components. By performing interoperability analysis...
Leigh A. Davis, Jamie Payton, Rose F. Gamble
TIT
2002
72views more  TIT 2002»
15 years 4 months ago
Principal curves with bounded turn
Principal curves, like principal components, are a tool used in multivariate analysis for ends like feature extraction. Defined in their original form, principal curves need not ex...
S. Sandilya, Sanjeev R. Kulkarni
ICSE
2004
IEEE-ACM
16 years 5 months ago
Imposing a Memory Management Discipline on Software Deployment
The deployment of software components frequently fails because dependencies on other components are not declared explicitly or are declared imprecisely. This results in an incompl...
Eelco Dolstra, Eelco Visser, Merijn de Jonge