123 search results - page 16 / 25 » Slow Feature Analysis: Unsupervised Learning of Invariances |
107
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ICIAR
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
110
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CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
100
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EMNLP
2004
15 years 1 months ago
2004
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
CVPR
2010
IEEE
14 years 12 months 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...
86
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KCAP
2005
ACM
15 years 5 months ago
2005
ACM
Capturing knowledge from free-form evaluative texts about an entity is a challenging task. New techniques of feature extraction, polarity determination and strength evaluation hav...