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» Multiple Object Class Detection with a Generative Model
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TASLP
2002
84views more  TASLP 2002»
15 years 2 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
ICPR
2006
IEEE
16 years 3 months ago
DTM Generation from LIDAR Data using Skewness Balancing
LIght Detection And Ranging (LIDAR) data for terrain and land surveying has contributed to many environmental, engineering and civil applications. However, the analysis of Digital...
David C. Mason, Hong Wei, Marc Bartels
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
ICASSP
2007
IEEE
15 years 6 months ago
Array Processing Approach for Object Segmentation in Images
Thanks to a specific formalism for signal generation, it is possible to transpose an image processing problem to an array processing problem. For straight line characterization, t...
Julien Marot, Salah Bourennane, Mouloud Adel
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 7 months ago
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
Efrén Mezura-Montes, Jesús Vel&aacut...