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NN
2002
Springer
226views Neural Networks» more  NN 2002»
13 years 10 months ago
Data visualisation and manifold mapping using the ViSOM
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
Hujun Yin
CIVR
2009
Springer
108views Image Analysis» more  CIVR 2009»
14 years 5 months ago
High-entropy layouts for content-based browsing and retrieval
Multimedia browsing and retrieval systems can use dimensionality reduction methods to map from high-dimensional content-based feature distributions to low-dimensional layout space...
Ruixuan Wang, Stephen J. McKenna, Junwei Han
NIPS
2004
14 years 8 days ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...
CSDA
2006
85views more  CSDA 2006»
13 years 11 months ago
Two-way Poisson mixture models for simultaneous document classification and word clustering
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
Jia Li, Hongyuan Zha
FOCS
2000
IEEE
14 years 3 months ago
Stable Distributions, Pseudorandom Generators, Embeddings and Data Stream Computation
In this article, we show several results obtained by combining the use of stable distributions with pseudorandom generators for bounded space. In particular: —We show that, for a...
Piotr Indyk