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ICIP
2009
IEEE
13 years 5 months ago
Shapes as empirical distributions
We address the problem of shape based classification. We interpret the shape of an object as a probability distribution governing the location of the points of the object. An imag...
Bernardo Rodrigues Pires, José M. F. Moura
IPSN
2009
Springer
14 years 2 months ago
Algebraic approach to recovering topological information in distributed camera networks
Camera networks are widely used for tasks such as surveillance, monitoring and tracking. In order to accomplish these tasks, knowledge of localization information such as camera l...
Edgar J. Lobaton, Parvez Ahammad, Shankar Sastry
ICASSP
2008
IEEE
14 years 2 months ago
Bringing diverse classifiers to common grounds: dtransform
Several classification scenarios employ multiple independently trained classifiers and the outputs of these classifiers need to be combined. However, since each of the trained ...
Devi Parikh, Tsuhan Chen
IPSN
2004
Springer
14 years 1 months ago
Distributed online localization in sensor networks using a moving target
We describe a novel method for node localization in a sensor network where there are a fraction of reference nodes with known locations. For application-specific sensor networks, ...
Aram Galstyan, Bhaskar Krishnamachari, Kristina Le...
AAAI
2011
12 years 7 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith