Simple Features

Known as: SFA, ISO19125, ISO 19125 
Simple Features (officially Simple Feature Access) is both an Open Geospatial Consortium (OGC) and International Organization for Standardization… (More)
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Topic mentions per year

Topic mentions per year

1971-2018
05010019712018

Papers overview

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Highly Cited
2011
Highly Cited
2011
Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4… (More)
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Highly Cited
2009
Highly Cited
2009
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object… (More)
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Highly Cited
2008
Highly Cited
2008
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to… (More)
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Highly Cited
2007
Highly Cited
2007
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object… (More)
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Highly Cited
2007
Highly Cited
2007
This paper addresses the problem of detecting people in two dimensional range scans. Previous approaches have mostly used pre… (More)
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Highly Cited
2005
Highly Cited
2005
Query difficulty can be linked to a number of causes. Some of these causes can be related to the query expression itself, and can… (More)
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Highly Cited
2003
Highly Cited
2003
The skyline, or Pareto, operator selects those tuples that are not dominated by any others. Extending relational systems with the… (More)
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Highly Cited
2002
Highly Cited
2002
Recently Viola et al. [5] have introduced a rapid object detection scheme based on a boosted cascade of simple features. In this… (More)
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Highly Cited
2001
Highly Cited
2001
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely… (More)
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Highly Cited
1998
Highly Cited
1998
This paper discusses a practical framework for the semi{ automatic construction of evaluation functions for games. Based on a… (More)
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