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APVIS
2007
15 years 6 months ago
Interpreting large visual similarity matrices
Visual similarity matrices (VSMs) are a common technique for visualizing graphs and other types of relational data. While traditionally used for small data sets or well-ordered la...
Christopher Mueller, Benjamin Martin, Andrew Lumsd...
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 2 months ago
Photometry-based visual servoing using light reflexion models
Abstract-- We present in this paper a way to achieve positioning tasks by visual servoing under complex luminance variations. To do that, we use as visual features the luminance of...
Christophe Collewet, Éric Marchand
WIAMIS
2009
IEEE
15 years 11 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
AAAI
2008
15 years 7 months ago
Learning to Connect Language and Perception
To truly understand language, an intelligent system must be able to connect words, phrases, and sentences to its perception of objects and events in the world. Current natural lan...
Raymond J. Mooney
COLING
2002
15 years 4 months ago
Location Normalization for Information Extraction
Ambiguity is very high for location names. For example, there are 23 cities named `Buffalo' in the U.S. Country names such as `Canada', `Brazil' and `China' ar...
Huifeng Li, Rohini K. Srihari, Cheng Niu, Wei Li 0...