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» Enhancing Text Analysis via Dimensionality Reduction
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AAAI
2008
13 years 10 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
KDD
2001
ACM
187views Data Mining» more  KDD 2001»
14 years 8 months ago
Random projection in dimensionality reduction: applications to image and text data
Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however,...
Ella Bingham, Heikki Mannila
PODS
2001
ACM
190views Database» more  PODS 2001»
14 years 7 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal
COMPLIFE
2006
Springer
13 years 11 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
TMI
1998
134views more  TMI 1998»
13 years 7 months ago
Speckle Reduction and Contrast Enhancement of Echocardiograms via Multiscale Nonlinear Processing
Abstract— This paper presents an algorithm for speckle reduction and contrast enhancement of echocardiographic images. Within a framework of multiscale wavelet analysis, we apply...
Xuli Zong, Andrew Laine, Edward A. Geiser