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NIPS
2007
14 years 11 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
CGF
2006
94views more  CGF 2006»
14 years 9 months 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»
14 years 9 months 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...
ICIP
2010
IEEE
14 years 7 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
ICB
2009
Springer
188views Biometrics» more  ICB 2009»
15 years 4 months ago
Pixelwise Local Binary Pattern Models of Faces Using Kernel Density Estimation
Local Binary Pattern (LBP) histograms have attained much attention in face image analysis. They have been successfully used in face detection, recognition, verification, facial ex...
Timo Ahonen, Matti Pietikäinen