1148 search results - page 102 / 230 » Dimensionality Reduction with Image Data |
NIPS
2007
14 years 11 months ago
2007
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
109
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ICDE
2012
IEEE
13 years 13 days ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
CVPR
2008
IEEE
16 years 7 hour ago
2008
IEEE
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
119
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WACV
2012
IEEE
13 years 5 months ago
2012
IEEE
We present a novel algorithm, Compact Kd-Trees (CompactKdt), that achieves state-of-the-art performance in searching large scale object image collections. The algorithm uses an or...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...