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PRL
2000
182views more  PRL 2000»
14 years 11 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
ICIP
1997
IEEE
16 years 1 months ago
Multiplexing Video Traffic Using Frame-skipping Aggregation Technique
MPEG, the Mowing Picture Experts Group, is a popular compression standard used in many multimedia applications. In video distribution systems, a CBR communications channel is ofte...
A. Yeung, Soung C. Liew
ICANN
2007
Springer
15 years 3 months ago
Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping
In todays bioinformatics, Mass spectrometry (MS) is the key technique for the identification of proteins. A prediction of spectrum peak intensities from pre computed molecular feat...
Alexandra Scherbart, Wiebke Timm, Sebastian Bö...
ASUNAM
2011
IEEE
13 years 12 months ago
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks
—The problem of predicting links or interactions between objects in a network, is an important task in network analysis. Along this line, link prediction between co-authors in a ...
Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Ag...
ICASSP
2009
IEEE
15 years 6 months ago
Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks
In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...
Martin Wöllmer, Florian Eyben, Joseph Keshet,...