NDLI: Personalized TV program guide based on neural network

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12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL)

11th Symposium on Neural Network Applications in Electrical Engineering

Table of contents

CAS-SP and CI joint meeting SP society distinguished lecture: Joint blind source separation: Applications in medical image analysis

Joint blind source separation: Applications in medical image analysis

Plenary lecture 1: Cooperative networked systems

Cooperative networked systems

Regular session 1: Neural networks for estimation and feature extraction

Application of neural networks in spatial signal processing (invited paper)

Empirical ANN models for 2D direction of arrival estimation

Comparison of neural networks for solving the travelling salesman problem

Modified SOM based intelligent semi-autonomous navigation system

Neural approaches for parameter extraction of microwave transistor noise models

Coherent oscillations in minimal neural network of excitable systems induced by noise and influenced by time delay

Comparison of generalized profile function models based on linear regression and neural networks

Special session 1: Neural networks in robotics

Combined controller architecture for leader-follower robot formation control

Dynamic Inversion Control of quadrotor with complementary Fuzzy logic compensator

Connectionist-genetic based algorithm for positioning industrial manipulator

Recognition and classification of deaf signs using neural networks

Recognition and classification of geometric shapes using neural networks

Neural networks in feedforward control of a robot arm driven by antagonistically coupled drives

Regular session 2: Neural network algorithms and realizations

FPGA implementation of neural network as processing element in ice detector

Probabilistic model for minor component analysis based on born rule

Automatic melody generation using Neural Networks and Cellular Automata

Radial basis function network based feature extraction for improvement the procedure of sourcing neolithic ceramics

Training artificial neural networks with memristive synapses: HSPICE-matlab co-simulation

Optimization of the extended water flow algorithm for the text-line segmentation

Neural network based optical character recognition system

Special session 2: Electrophysiological signals and neurorehabilitation

The potential of imagination and artificial afference in stroke rehabilitation

H-reflex recorded by multi-pad EMG electrodes

PCA sensitivity: The role of representative and outlier strides in gait sequence

Kinect in neurorehabilitation: Computer vision system for real time hand and object detection and distance estimation

WiiMote control: Gaming feedback for motivational training of the arm movements

Plenary Lecture 2: GA-based Optimization of Fuzzy Rule Bases for Pattern Classification

GA-based optimization of fuzzy rule bases for pattern classification

GA-based optimisation of fuzzy rule bases for pattern classification

Regular session 3: Neural networks for classification

Ensemble fusion methods for medical data classification

Protein surface atom neighbourhoods classification

A modified adaptive retraining procedure for data forecasting

Error minimization in Phase-Based Neurons

Authorship attribution using committee machines with k-nearest neighbors rated voting

Confidence based learning of a two-model committee for sequence labeling

Regular session 4: Neural networks in biomedical engineering

Detection of the first heart sound using fibre-optic interferometric measurements and neural networks

Joint time-frequency analysis of phonocardiograms

Comparison between acceleration-enhanced adaptive filters and neural network filters for respiratory motion prediction

Sequential change-point detection via the Cross-Entropy method

FMRI based connectivity analysis of perisylvian language related brain areas

Image analysis using modified multifractal measure based on sigmoid function

Acoustic features determination for regularity articulation quantification of Serbian fricatives

Functional organization and hierarchy of control levels in Homo sapiens CNS

Regular session 5: Neural networks in image processing and multimedia

Performance of texture descriptors in classification of medical images with outsiders in database

Neural network based single image super resolution

Neural network based image deblurring

Application of neural networks in emotional speech recognition

Personalized TV program guide based on neural network

Autonomic telemedical application for Android based mobile devices

Plenary lecture 3: Sampling, sparcity, and inverse problems

Sampling, sparsity, and inverse problems

Regular session 6: Neural networks in power engineering

ANN application for the next day peak electricity load prediction

State estimation for power systems with multilayer perceptron neural networks

Neural network ensemble for power transformers fault detection

Dynamic neural control for maximum power point tracking of PV system

Frequency domain characterization of a solar cell

Dimensioning the heating system for residential buildings using neural networks

10th Symposium on Neural Network Applications in Electrical Engineering

2008 9th Symposium on Neural Network Applications in Electrical Engineering

2006 8th Seminar on Neural Network Applications in Electrical Engineering

7th Seminar on Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004

6th Seminar on Neural Network Applications in Electrical Engineering

Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering. NEUREL 2000 (IEEE Cat. No.00EX287)

Personalized TV program guide based on neural network

Content Provider	IEEE Xplore Digital Library
Author	Krstic, M. Bjelica, M.
Copyright Year	2012
Description	Author affiliation: School of Electrical Engineering (ETF), Communications Department, Belgrade, Serbia (Krstic, M.; Bjelica, M.)
Abstract	As digital TV providers today offer hundreds of channels, TV viewers do not have problem with content availability, but with finding an interesting content in a reasonable time instead. In a situation like this, both the providers and the viewers would benefit from personalized TV program guides, the tools that would track and learn the viewers' preferences and then recommend them the content they would like. In this paper, we propose one such guide which is based on artificial neural network. We examine and compare several learning algorithms, with recommendation accuracy and neural network training time as performance metrics.
Starting Page	227
Ending Page	230
File Size	424019
Page Count	4
File Format	PDF
ISBN	9781467315692
e-ISBN	9781467315722
DOI	10.1109/NEUREL.2012.6420017
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-20
Publisher Place	Serbia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Training TV Accuracy Recommender systems Motion pictures Classification algorithms supervised learning Digital TV feedforward neural networks personalized program guide recommender systems
Content Type	Text
Resource Type	Article

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