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» Representation of Functional Data in Neural Networks
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ECCV
2000
Springer
15 years 12 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
IJCNN
2007
IEEE
15 years 4 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
ICMLA
2010
14 years 8 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
EXACT
2009
14 years 7 months ago
Towards the Explanation of Workflows
Across many fields involving complex computing, software systems are being augmented with workflow logging functionality. The log data can be effectively organized using declarativ...
James Michaelis, Li Ding, Deborah L. McGuinness
BIBE
2001
IEEE
179views Bioinformatics» more  BIBE 2001»
15 years 1 months ago
Texture-Based 3-D Brain Imaging
Different modalities in biomedical imaging, like CT, MRI and PET scanners, provide detailed crosssectional views of the human anatomy. The imagery obtained from these scanning dev...
Sagar Saladi, Pujita Pinnamaneni, Joerg Meyer