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NIPS
2007
15 years 1 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
ICPR
2006
IEEE
16 years 1 months ago
Image classification: Classifying distributions of visual features
We classify an image by generating a list of salient visual features present in the luminance channel, and matching the resulting variable-length feature list to categoryspecific ...
Prateek Sarkar
IJCNN
2006
IEEE
15 years 6 months ago
SOM-Based Sparse Binary Encoding for AURA Classifier
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
Simon O'Keefe
PR
2010
144views more  PR 2010»
14 years 10 months ago
Classifying transformation-variant attributed point patterns
This paper presents a classification approach, where a sample is represented by a set of feature vectors called an attributed point pattern. Some attributes of a point are transf...
K. E. Dungan, L. C. Potter
76
Voted
BMCBI
2010
101views more  BMCBI 2010»
15 years 16 days ago
Optimizing structural modeling for a specific protein scaffold: knottins or inhibitor cystine knots
Background: Knottins are small, diverse and stable proteins with important drug design potential. They can be classified in 30 families which cover a wide range of sequences (1621...
Jérôme Gracy, Laurent Chiche