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» Terrain mapping and classification using neural networks
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CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
14 years 4 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
TNN
2010
227views Management» more  TNN 2010»
14 years 4 months ago
Self-Organizing MultiLayer Perceptron
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...
B. Gas
89
Voted
INFFUS
2002
155views more  INFFUS 2002»
14 years 9 months ago
Image fusion techniques for remote sensing applications
Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many measuring contexts. The aim...
G. Simone, Alfonso Farina, Francesco Carlo Morabit...
74
Voted
CDC
2010
IEEE
149views Control Systems» more  CDC 2010»
14 years 4 months ago
Nonuniform coverage and cartograms
In this paper, we investigate nonuniform coverage of a planar region by a network of autonomous, mobile agents. We derive centralized nonuniform coverage control laws from uniform ...
Francois Lekien, Naomi Ehrich Leonard
PR
2007
151views more  PR 2007»
14 years 9 months ago
Learning to display high dynamic range images
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
Guoping Qiu, Jiang Duan, Graham D. Finlayson