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WEBI
2010
Springer
13 years 5 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
COR
2010
105views more  COR 2010»
13 years 7 months ago
Effective formulation reductions for the quadratic assignment problem
In this paper we study two formulation reductions for the quadratic assignment problem (QAP). In particular we apply these reductions to the well known Adams and Johnson [2] integ...
Huizhen Zhang, Cesar Beltran-Royo, Miguel Constant...
TNN
2008
129views more  TNN 2008»
13 years 7 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens
ECML
2005
Springer
14 years 27 days ago
Fast Non-negative Dimensionality Reduction for Protein Fold Recognition
Abstract. In this paper, dimensionality reduction via matrix factorization with nonnegativity constraints is studied. Because of these constraints, it stands apart from other linea...
Oleg Okun, Helen Priisalu, Alexessander Alves
AIPS
2003
13 years 8 months ago
Symmetry Reduction for SAT Representations of Transition Systems
Symmetries are inherent in systems that consist of several interchangeable objects or components. When reasoning about such systems, big computational savings can be obtained if t...
Jussi Rintanen