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» Local Dimensionality Reduction
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PR
2011
14 years 10 months ago
A survey of multilinear subspace learning for tensor data
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
AAAI
2012
13 years 10 months ago
Sparse Probabilistic Relational Projection
Probabilistic relational PCA (PRPCA) can learn a projection matrix to perform dimensionality reduction for relational data. However, the results learned by PRPCA lack interpretabi...
Wu-Jun Li, Dit-Yan Yeung
ACRI
2006
Springer
16 years 1 months ago
A Maze Routing Algorithm Based on Two Dimensional Cellular Automata
This paper propose a maze routing algorithm based on cellular automata. The aim of this algorithm is find the shortest path between the source cell and the target cell , so that th...
Shahram Golzari, Mohammad Reza Meybodi
ICML
1995
IEEE
16 years 8 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
IEEEARES
2008
IEEE
16 years 1 months ago
Making Multi-Dimensional Trust Decisions on Inter-Enterprise Collaborations
—Enterprise computing is moving towards more open, collaborative systems. Joining a business network must be made efficient, despite the technical and semantic interoperability ...
Sini Ruohomaa, Lea Kutvonen