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NIPS
2001
14 years 11 months ago
Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines
A mixed-signal paradigm is presented for high-resolution parallel innerproduct computation in very high dimensions, suitable for efficient implementation of kernels in image proce...
Roman Genov, Gert Cauwenberghs
WSCG
2000
84views more  WSCG 2000»
14 years 11 months ago
New Theory of Pattern Recognition on the Basis of Stochastic Geometry
The article offers a new approach towards the construction of recognition features independent of images' displacement or linear deformation. The distinguishing characteristi...
Nikolay G. Fedotov, Luydmila A. Shulga
VISAPP
2007
14 years 11 months ago
Image deconvolution using a stochastic differential equation approach
We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
Xavier Descombes, M. Lebellego, Elena Zhizhina
AUTOMATICA
2006
83views more  AUTOMATICA 2006»
14 years 10 months ago
A stochastic control model of economic growth with environmental disaster prevention
This paper proposes a capital accumulation model with a random stopping time corresponding to the occurrence of an environmental catastrophe. Depending on the preventive capital s...
Alain Haurie, Francesco Moresino
IJON
2002
91views more  IJON 2002»
14 years 9 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...