Open AccessBook
Pattern Analysis and Understanding
Heinrich Niemann
- 15 Feb 1990
182
TL;DR: This research presents a novel and scalable approach to data classification called "SmartLabeling", which automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and classification of data.
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Abstract: 1. Introduction.- 2. Preprocessing.- 3. Segmentation.- 4. Classification.- 5. Data.- 6. Control.- 7. Knowledge.- References.
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Citations
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
TL;DR: The generalized algorithm DBSCAN can cluster point objects as well as spatially extended objects according to both, their spatial and their nonspatial attributes, and four applications using 2D points (astronomy, 3D points,biology, 5D points and 2D polygons) are presented, demonstrating the applicability of GDBSCAN to real-world problems.
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•Book
Expert Systems and Probabilistic Network Models
Enrique Castillo,José M. Gutiérrez,Ali S. Hadi +2 more
- 13 Dec 1996
TL;DR: This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.
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A novel method for automatic face segmentation, facial feature extraction and tracking
K. Sobottka,Ioannis Pitas +1 more
TL;DR: A novel method for the segmentation of faces, extraction of facial features and tracking of the face contour and features over time, using deformable models like snakes is described.
348
Information theoretic sensor data selection for active object recognition and state estimation
Joachim Denzler,Chris Brown +1 more
TL;DR: A formalism for optimal sensor parameter selection for iterative state estimation in static systems using Shannon's information theory to select information-gathering actions that maximize mutual information, thus optimizing the information that the data conveys about the true state of the system.
A neural network-based method for short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain
TL;DR: In this article, a new method for short-term air pollution prediction is described, based on the neural network, which was developed for prediction for SO2 pollution around the biggest Slovenian thermal power plant at Sostanj.
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References
Multilayer Perceptron: Architecture Optimization and training with mixed activation functions
Hassan Ramchoun,M. A. Janati Idrissi,Youssef Ghanou,Mohamed Ettaouil +3 more
- 29 Mar 2017
TL;DR: A new approach to optimize the network architecture and weights is introduced, for solving the obtained model the meta-heuristics are used and the network is trained with a back-propagation algorithm.
112
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