396 search results - page 55 / 80 » Lossy Reduction for Very High Dimensional Data |
106
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EUROSYS
2006
ACM
15 years 9 months ago
2006
ACM
Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are in...
AAAI
2006
15 years 1 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
ICPR
2002
IEEE
15 years 4 months ago
2002
IEEE
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
116
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SDM
2004
SIAM
15 years 1 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
KDD
2001
ACM
16 years 5 days ago
2001
ACM
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...