Titlebook: New Challenges on Bioinspired Applications; 4th International Wo José Manuel Ferrández,José Ramón álvarez Sánchez,F Conference proceedings

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A Speaker Recognition System Based on an Auditory Model and Neural Nets: Performance at Different Ltem in speaker recognition tasks has been tested at different levels of voice pressure and different levels of noise. The auditory model yields five psychophysical parameters with which a neural network is trained. We used a number of Spanish words from the ’Ahumada’ database as uttered by native male speakers.

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/664914.jpg

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978-3-642-21325-0Springer Berlin Heidelberg 2011

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MRI Brain Image Segmentation with Supervised SOM and Probability-Based Clustering Method,gmentation method based on a supervised version of the Self-Organizing Maps (SOM). Moreover, a probability-based clustering method is presented in order to improve the resolution of the segmented image. On the other hand, the comparisons with other methods carried out using the IBSR database, show that our method ourperforms other algorithms.

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,Effective Diagnosis of Alzheimer’s Disease by Means of Distance Metric Learning and Random Forest,hods namely Mahalanobis and Euclidean distances are used. Moreover, the proposed system evaluates Random Forests (RF) classifier, yielding a 98.97% AD diagnosis accuracy, which reports clear improvements over existing techniques, for instance the Principal Component Analysis(PCA) or Normalized Minimum Squared Error (NMSE) evaluated with RF.