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» Recognition by Probabilistic Hypothesis Construction
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EMNLP
2006
13 years 9 months ago
Learning Field Compatibilities to Extract Database Records from Unstructured Text
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
Michael L. Wick, Aron Culotta, Andrew McCallum
PAMI
2002
112views more  PAMI 2002»
13 years 7 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
DICTA
2008
13 years 9 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
ICCV
2005
IEEE
14 years 9 months ago
Detecting Irregularities in Images and in Video
We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term &qu...
Oren Boiman, Michal Irani
SIGMOD
2004
ACM
189views Database» more  SIGMOD 2004»
14 years 7 months ago
A Holistic Paradigm for Large Scale Schema Matching
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang