2512 search results - page 25 / 503 » Learning from Highly Structured Data by Decomposition |
175
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SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
116
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CVPR
2010
IEEE
16 years 8 days ago
2010
IEEE
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
149
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
In this paper we propose a new method for the simultaneous segmentation and 3D reconstruction of interest point based articulated motion. We decompose a set of point tracks into r...
123
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
136
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COLT
2010
Springer
15 years 2 months ago
2010
Springer
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...