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» Neural methods for non-standard data
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IDEAL
2005
Springer
15 years 7 months ago
Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidd...
Ivana Bozic, Guanglan Zhang, Vladimir Brusic
ICIP
2000
IEEE
16 years 3 months ago
Clustered Component Analysis for FMRI Signal Estimation and Classification
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
Charles A. Bouman, Sea Chen, Mark J. Lowe
ICIP
2009
IEEE
16 years 3 months ago
A Bio-inspired Cnn With Re-indexing Engine For Lossless Dna Microarray Compression And Segmentation
The DNA microarray images allow to analyze the natural gene expressions. In this paper we propose an advanced method to efficiently address the imaging storage as well as the perf...
ISNN
2004
Springer
15 years 7 months ago
Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face
In this paper, a kernel-based SOM-face method is proposed to recognize expression variant faces under the situation of only one training image per person. Based on the localization...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
CSDA
2007
134views more  CSDA 2007»
15 years 1 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington