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» A New Bayesian Framework for Object Recognition
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PAMI
2007
193views more  PAMI 2007»
13 years 6 months ago
Robust Object Recognition with Cortex-Like Mechanisms
—We introduce a new general framework for the recognition of complex visual scenes, which is motivated by biology: We describe a hierarchical system that closely follows the orga...
Thomas Serre, Lior Wolf, Stanley M. Bileschi, Maxi...
EAAI
2010
144views more  EAAI 2010»
13 years 1 months ago
Fault diagnosis of industrial systems by conditional Gaussian network including a distance rejection criterion
The purpose of this article is to present a method for industrial process diagnosis with Bayesian network, and more particularly with Conditional Gaussian Network (CGN). The inter...
Sylvain Verron, Teodor Tiplica, Abdessamad Kobi
AIA
2006
13 years 8 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
ICASSP
2010
IEEE
13 years 7 months ago
Fishervioce: A discriminant subspace framework for speaker recognition
We propose a new framework for speaker recognition, referred as Fishervoice. It includes the design of a feature representation known as the structured score vector (SSV), which r...
Zhifeng Li, Weiwu Jiang, Helen M. Meng
ICPR
2006
IEEE
14 years 8 months ago
Planning of Multiple Camera Arrangement for Object Recognition in Parametric Eigenspace
When objects are recognized by using multiple cameras, recognition rates strongly depend on the camera arrangement. In this paper, we propose a new method for planning a multiple ...
Tomokazu Takahashi, Osanori Matsugano, Ichiro Ide,...