Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques
5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II
Seiten
2015
|
1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-23861-6 (ISBN)
Springer International Publishing (Verlag)
978-3-319-23861-6 (ISBN)
The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015.
The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.
The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.
Erscheint lt. Verlag | 27.10.2015 |
---|---|
Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XIX, 627 p. 205 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Schlagworte | Anomaly Detection • Applications • Big Data • Cloud Computing • Clustering • Computer Science • conference proceedings • Data Mining • dimensionality reduction • Encryption • face recognition • Genetic Algorithm • Image Processing • image processing and computer vision • image representations • Informatics • machine learning • machine learning • Neural networks • Object detection • query processing • Research • Semi-Supervised Learning • Signal Processing • similarity measurement • Tracking • Unsupervised Learning |
ISBN-10 | 3-319-23861-2 / 3319238612 |
ISBN-13 | 978-3-319-23861-6 / 9783319238616 |
Zustand | Neuware |
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