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DATE
2003
IEEE
114views Hardware» more  DATE 2003»
16 years 3 days ago
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
Simona Doboli, Gaurav Gothoskar, Alex Doboli
ESANN
2004
15 years 8 months ago
Clustering functional data with the SOM algorithm
Abstract. In many situations, high dimensional data can be considered as sampled functions. We show in this paper how to implement a Self-Organizing Map (SOM) on such data by appro...
Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Go...
IDA
2007
Springer
15 years 6 months ago
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data
: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain typ...
Simone Garatti, Sergio Bittanti, Diego Liberati, A...
CVPR
2001
IEEE
16 years 8 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth
EDBT
2004
ACM
131views Database» more  EDBT 2004»
16 years 7 months ago
A Framework for Access Methods for Versioned Data
This paper presents a framework for understanding and constructing access methods for versioned data. Records are associated with version ranges in a version tree. A minimal repre...
Betty Salzberg, Linan Jiang, David B. Lomet, Manue...