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89
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NIPS
2007
15 years 2 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
108
Voted
CGF
2006
94views more  CGF 2006»
15 years 25 days ago
A Weighted Error Metric and Optimization Method for Antialiasing Patterns
Displaying a synthetic image on a computer display requires determining the colors of individual pixels. To avoid aliasing, multiple samples of the image can be taken per pixel, a...
Samuli Laine, Timo Aila
TKDE
2008
128views more  TKDE 2008»
15 years 21 days ago
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
Mixed-drove spatiotemporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in spatial and temporal proximi...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
92
Voted
ICIP
2010
IEEE
14 years 10 months ago
Curvature analysis of pattern transformation manifolds
Transformation manifolds are quite attractive for image analysis applications that require transformation invariance properties. The geometric structure of a transformation manifo...
Elif Vural, Pascal Frossard
102
Voted
MICCAI
2007
Springer
16 years 1 months ago
Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals
We present a new functional magnetic resonance imaging (fMRI) analysis method that incorporates both spatial and temporal dynamics of bloodoxygen-level dependent (BOLD) signals wit...
Bernard Ng, Rafeef Abugharbieh, Samantha J. Palmer...