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ECCV
2010
Springer
16 years 6 days ago
A Fast Dual Method for HIK SVM Learning
Histograms are used in almost every aspect of computer vi-4 4 sion, from visual descriptors to image representations. Histogram Inter-5 5 section Kernel (HIK) and SVM classifiers ...
240
Voted
GEOS
2009
Springer
15 years 11 months ago
Bottom-Up Gazetteers: Learning from the Implicit Semantics of Geotags
As directories of named places, gazetteers link the names to geographic footprints and place types. Most existing gazetteers are managed strictly top-down: entries can only be adde...
Carsten Keßler, Patrick Maué, Jan Tor...
ECAL
1995
Springer
15 years 10 months ago
Can Development Be Designed? What we May Learn from the Cog Project
Neither `design' nor `evolutionary' approaches to building behavior-based robots feature a role for development in the genesis of behavioral organization. However, the n...
Julie C. Rutkowska
180
Voted
PAMI
2010
205views more  PAMI 2010»
15 years 5 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
184
Voted
EMNLP
2010
15 years 4 months ago
What a Parser Can Learn from a Semantic Role Labeler and Vice Versa
In many NLP systems, there is a unidirectional flow of information in which a parser supplies input to a semantic role labeler. In this paper, we build a system that allows inform...
Stephen A. Boxwell, Dennis Mehay, Chris Brew