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CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...
NECO
2007
127views more  NECO 2007»
13 years 7 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
CVPR
2005
IEEE
14 years 1 months ago
A Discriminative Framework for Modelling Object Classes
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
Alex Holub, Pietro Perona
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 2 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
SEMWEB
2001
Springer
14 years 12 days ago
Object Interoperability for Geospatial Applications
In this paper, we analyze a geospatial application for visualizing U.S. election results in order to show the problems that need to be solved in the mapping between different XML...
Isabel F. Cruz, Paul W. Calnan