Independent Component Analysis and Signal Separation
7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings
Seiten
2007
|
2007
Springer Berlin (Verlag)
978-3-540-74493-1 (ISBN)
Springer Berlin (Verlag)
978-3-540-74493-1 (ISBN)
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.
Theory.- Algorithms.- Sparse Methods.- Speech and Audio Applications.- Biomedical Applications.- Miscellaneous.- Keynote Talk.
Erscheint lt. Verlag | 28.8.2007 |
---|---|
Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
Zusatzinfo | XIX, 847 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1312 g |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | Algorithm analysis and problem complexity • algorithms • audio segmentation • audio synthesis • auditory perception • Bioinformatics • Calculus • Data Mining • denoising • Dom • Dynamical Systems • estimation methods • Estimator • Graphical Models • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • hierarchical models • Image Processing • Information • Information Theory • Kernel Methods • Minimum • Minimum description length • motion tracking • multimed • multimedia processing • neuroimaging • noisy models • object detection and recognition • Optimization • Speech Enhancement • Statistical Learning • unsupervised machine learning • visual scene analysis |
ISBN-10 | 3-540-74493-2 / 3540744932 |
ISBN-13 | 978-3-540-74493-1 / 9783540744931 |
Zustand | Neuware |
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