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Talking books. --- Blind --- Services for. --- Library of Congress.

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Talking books. --- Blind --- Services for. --- Library of Congress.

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Blind --- Orientation and mobility instructors --- Discrimination against people with disabilities --- Social Welfare & Social Work --- Disabilities --- Social Sciences --- Ableism --- Discrimination against the handicapped --- People with disabilities --- Mobility trainers --- O and M instructors --- Peripatologists --- Therapists for the blind --- Allied health personnel --- Blind people --- Blind persons --- Blindness --- People with visual disabilities --- Deafblind people --- Orientation and mobility --- History --- Services for --- Patients

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Steven stapt positief en zelfverzekerd door het leven en vertrouwt andere mensen. Dat is ook nodig want hijis namelijk blindgeboren. Dankzij de samenwerking met buurman Jan ontdekt Steven dat de betutteling van blinden groot is. Jan laat hem zien dat hij zélf keuzes kan maken. De hulp die door de overheid wordt verstrekt, zoals de begeleiding voor geïntegreerd onderwijs (GON), is vaak ontoereikend en houdtte weinig rekening met de blinde zelf. In dit boek vertellen Jan en Steven dat de begeleiding van een blinde ook ánders kan en dat je ook zonder diploma's of kennis van braille blinden een heel eind op weg kan helpen.

blinde --- Blindheid. --- blindheid (themawoord fictie) --- Social policy and particular groups --- Blind --- Biography --- Bladt, Steven --- Belgium --- Brussels (Belgium) --- Blinden --- Visueel gehandicapten --- Gehandicaptenzorg --- Lichamelijk gehandicapten --- #SMV:museum --- Personen met een visuele handicap --- Inclusief onderwijs --- Levensverhaal --- 463.1 --- blindheid (slechtziendheid) --- fysiek gehandicapten --- ziektebeleving --- Blinde --- Persoon met een visuele handicap --- Persoon met een lichamelijke handicap

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This volume contains the papers presented at the 7th International Conference on Independent Component Analysis (ICA) and Source Separation held in L- don, 9–12 September 2007, at Queen Mary, University of London. Independent Component Analysis and Signal Separation is one of the most exciting current areas of research in statistical signal processing and unsup- vised machine learning. The area has received attention from several research communities including machine learning, neural networks, statistical signal p- cessing and Bayesian modeling. Independent Component Analysis and Signal Separation has applications at the intersection of many science and engineering disciplinesconcernedwithunderstandingandextractingusefulinformationfrom data as diverse as neuronal activity and brain images, bioinformatics, com- nications, the World Wide Web, audio, video, sensor signals, or time series. This year’s event was organized by the EPSRC-funded UK ICA Research Network (www.icarn.org). There was also a minor change to the conference title this year with the exclusion of the word‘blind’. The motivation for this was the increasing number of interesting submissions using non-blind or semi-blind techniques that did not really warrant this label. Evidence of the continued interest in the ?eld was demonstrated by the healthy number of submissions received, and of the 149 papers submitted just over two thirds were accepted.

Signal processing --- Blind source separation --- Neural networks (Computer science) --- Electronic noise --- Multivariate analysis --- Traitement du signal --- Réseaux neuronaux (Informatique) --- Bruit électronique --- Analyse multivariée --- Digital techniques --- Congresses. --- Techniques numériques --- Congrès --- Independent component analysis --- Telecommunications --- Computer Science --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Blind signal separation --- BSS (Blind source separation) --- Computer science. --- Coding theory. --- Computers. --- Algorithms. --- Data mining. --- Statistics. --- Computer Science. --- Algorithm Analysis and Problem Complexity. --- Computation by Abstract Devices. --- Coding and Information Theory. --- Statistics and Computing/Statistics Programs. --- Data Mining and Knowledge Discovery. --- Signal, Image and Speech Processing. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Data compression (Telecommunication) --- Digital electronics --- Information theory --- Signal theory (Telecommunication) --- Computer programming --- Informatics --- Science --- Foundations --- Source separation (Signal processing) --- Computer software. --- Mathematical statistics. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Software, Computer --- Information theory. --- Statistics . --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Communication theory --- Communication --- Artificial intelligence --- Intelligence artificielle --- Réseaux neuronaux (informatique) --- ICA (Independent component analysis)