332 search results - page 36 / 67 » On the Performance of Chernoff-Distance-Based Linear Dimensi... |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
85
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we describe recent progress in i-vector based speaker verification. The use of universal background models (UBM) with full-covariance matrices is suggested and tho...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
VISSYM
2004
14 years 11 months ago
2004
We propose a flexible approach for the visualization of large, high-dimensional datasets. The raw, highdimensional data is mapped into an abstract 3D distance space using the Fast...
186
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VLDB
2006
ACM
15 years 10 months ago
2006
ACM
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...