Sciweavers

355 search results - page 13 / 71
» Testing Properties of Sparse Images
Sort
View
98
Voted
ESANN
2006
15 years 3 months ago
Visual object classification by sparse convolutional neural networks
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Alexander Gepperth
BMVC
2000
15 years 3 months ago
Statistical Properties of the Hybrid Radon-Fourier Technique
The hybrid Radon-Fourier technique has been proposed for the discrimination and tracking of deforming and compound targets. The current work investigates the technique's uniq...
Violet F. Leavers
126
Voted
IPMI
2009
Springer
15 years 6 months ago
Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD)
Functional magnetic resonance imaging (fMRI) has become increasingly used for studying functional integration of the brain. However, the large inter-subject variability in function...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
BC
2004
86views more  BC 2004»
15 years 1 months ago
Is sparse and distributed the coding goal of simple cells?
Abstract. The question of why the receptive fields of simple cells in the primary visual cortex are Gabor-like is a crucial one in vision research. Many research efforts (Olshausen...
Li Zhao
IPCO
2008
221views Optimization» more  IPCO 2008»
15 years 3 months ago
A Comparative Study of Linear and Semidefinite Branch-and-Cut Methods for Solving the Minimum Graph Bisection Problem
Abstract. Semidefinite relaxations are known to deliver good approximations for combinatorial optimization problems like graph bisection. Using the spectral bundle method it is pos...
Michael Armbruster, Marzena Fügenschuh, Chris...