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AIPR
2002
IEEE
15 years 11 months ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
CSCLP
2008
Springer
15 years 8 months ago
From Rules to Constraint Programs with the Rules2CP Modelling Language
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
François Fages, Julien Martin
CORR
2006
Springer
87views Education» more  CORR 2006»
15 years 6 months ago
Synchronization recovery and state model reduction for soft decoding of variable length codes
Abstract-- Variable length codes (VLCs) exhibit desynchronization problems when transmitted over noisy channels. Trellis decoding techniques based on Maximum A Posteriori (MAP) est...
Simon Malinowski, Herve Jegou, Christine Guillemot
JMLR
2008
209views more  JMLR 2008»
15 years 6 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 5 months ago
Modeling and decision making in spatio-temporal processes for environmental surveillance
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...