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» Learning the Common Structure of Data
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SPEECH
1998
118views more  SPEECH 1998»
15 years 3 months ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...
FLAIRS
2003
15 years 5 months ago
Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System
The goal of the MavHome smart home project is to build an intelligent home environment that is aware of its inhabitants and their activities. Such a home is designed to provide ma...
Ritesh Mehta, Diane J. Cook, Lawrence B. Holder
ESANN
2008
15 years 5 months ago
K-nearest neighbours based on mutual information for incomplete data classification
Incomplete data is a common drawback that machine learning techniques need to deal with when solving real-life classification tasks. One of the most popular procedures for solving ...
Pedro J. García-Laencina, José-Luis ...
PR
2010
186views more  PR 2010»
15 years 2 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
TIP
2008
167views more  TIP 2008»
15 years 3 months ago
FIR Filter Banks for Hexagonal Data Processing
Images are conventionally sampled on a rectangular lattice, and they are also commonly stored as such a lattice. Thus, traditional image processing is carried out on the rectangula...
Q. Jiang