Titlebook: Engineering Applications of Neural Networks; 17th International C Chrisina Jayne,Lazaros Iliadis Conference proceedings 2016 Springer Inter

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2D Recurrent Neural Networks for Robust Visual Tracking of Non-Rigid Bodies a novel method for robust visual tracking, based on the combination of image-based prediction and weighted correlation. Starting from an initial guess, neural computation is applied to predict the position of the target in each video frame. Normalized cross-correlation is then applied to refine the

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Choice of Best Samples for Building Ensembles in Dynamic Environments is possible to enhance the input examples to construct models, one should consider it thoroughly. In this work, we propose a technique to define the best set of training examples using dynamic ensembles in text classification scenarios. In dynamic environments, where new data is constantly appearin

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cogitate

Predicting Abnormal Bank Stock Returns Using Textual Analysis of Annual Reports – a Neural Network Aommonly used finance-specific dictionaries, while the bag-of-words are selected according to their .-.. We combine these features with financial indicators to predict abnormal bank stock returns using a neural network with dropout regularization and rectified linear units. We show that this method o

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Emotion Recognition Using Facial Expression Images for a Robotic Companiond are in need of more human-like abilities. In this paper we present experimental results on emotion recognition through the use of facial expression images obtained from the KDEF database, a fundamental first step towards the development of an empathic social robot. We compare the performance of Su

HIKE

Application of Artificial Neural Networks for Analyses of EEG Record with Semi-Automated Etalons Extgorithm for weight optimization on multi-channel EEG record is presented here. The novelty of the approach lies in the semi-automated etalon extraction. The etalons are suggested by the k-means algorithm and verified/edited by an expert. The whole process of EEG record consists of multichannel adapt

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Elastic Net Application: Case Study to Find Solutions for the TSP in a Beowulf Cluster Architectureowulf cluster architecture for High-Performance Computing. The solutions for the TSP for the different number of cities are achieved by the minimization of the internal energy and by the maximization of the entropy in the information system. In this way, approximate solutions to the TSP can be deter

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Comparison of Methods for Automated Feature Selection Using a Self-organising Mapne of the key challenges is the implementation of effective methods for selecting a set of relevant features, which are buried in high-dimensional data along with irrelevant noisy features by choosing a subset of the complete set of input features that predicts the output with higher accuracy compar

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