20 search results - page 4 / 4 » Dimensionality Reduction by Canonical Contextual Correlation... |
SIGIR
2005
ACM
13 years 10 months ago
2005
ACM
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
In this article, we focus on the problem of large-scale instance-level image retrieval. For efficiency reasons, it is common to represent an image by a fixed-length descriptor w...
SIGMOD
2011
ACM
12 years 7 months ago
2011
ACM
Prior work in differential privacy has produced techniques for answering aggregate queries over sensitive data in a privacypreserving way. These techniques achieve privacy by addi...
COLT
2008
Springer
13 years 6 months ago
2008
Springer
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...