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» A Least-Squares Framework for Component Analysis
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PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
13 years 6 months ago
Sparse Unsupervised Dimensionality Reduction Algorithms
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...
Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
TVCG
2010
143views more  TVCG 2010»
13 years 6 months ago
Meshless Helmholtz-Hodge Decomposition
Vector fields analysis traditionally distinguishes conservative (curl-free) from mass preserving (divergence-free) components. The Helmholtz-Hodge decomposition allows separating ...
Fabiano Petronetto, Afonso Paiva, Marcos Lage, Geo...
CASCON
1996
77views Education» more  CASCON 1996»
13 years 9 months ago
Harvesting design for an application framework
Framework design begins with domain analysis. Either the problem domain is analyzed to create a new design, or the solution domain is analyzed to understand how the problem has al...
Joan Boone
MICCAI
2010
Springer
13 years 6 months ago
Statistical Analysis of Structural Brain Connectivity
Abstract. We present a framework for statistical analysis in large cohorts of structural brain connectivity, derived from diffusion weighted MRI. A brain network is defined betwe...
Renske de Boer, Michiel Schaap, Fedde van der Lijn...
CASES
2011
ACM
12 years 7 months ago
Enabling parametric feasibility analysis in real-time calculus driven performance evaluation
This paper advocates a rigorously formal and compositional style for obtaining key performance and/or interface metrics of systems with real-time constraints. We propose a hierarc...
Alena Simalatsar, Yusi Ramadian, Kai Lampka, Simon...