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» Local Dimensionality Reduction
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PR
2011
14 years 3 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 3 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
15 years 6 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 1 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
15 years 7 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