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» Learning to Order Things
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152
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NIPS
2004
15 years 4 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
114
Voted
COLING
2000
15 years 4 months ago
Word Order Acquisition from Corpora
In this paper we describe a method of acquiring word order fl'om corpora. Word order is defined as the order of modifiers, or the order of phrasal milts called 'bunsetsu...
Kiyotaka Uchimoto, Masaki Murata, Qing Ma, Satoshi...
120
Voted
ICPR
2008
IEEE
15 years 9 months ago
On second order operators and quadratic operators
In pattern recognition, computer vision, and image processing, many approaches are based on second order operators. Well-known examples are second order networks, the 3D structure...
Michael Felsberg
123
Voted
CVPR
2009
IEEE
16 years 9 months ago
Efficient Kernels for Identifying Unbounded-Order Spatial Features
Higher order spatial features, such as doublets or triplets have been used to incorporate spatial information into the bag-of-local-features model. Due to computational limits, ...
Yimeng Zhang (Carnegie Mellon University), Tsuhan ...
100
Voted
ESANN
2000
15 years 4 months ago
Evaluating SOMs using order metrics
It has been shown that self-organized maps, when adequately trained with the set of integers 1 to 32, lay out real numbers in a 2D map in an ordering that is superior to any of the...
Arnulfo P. Azcarraga