Artificial neural networks in pattern recognition : 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings /: 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings. (2016)

• Record Type: Book
• Other Titles: ANNPR 2016
• Further Information: Note: Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin (eds.).
• Editors: Schwenker, Friedhelm; Abbas, Hazem M; El Gayar, Neamat; Trentin, Edmondo
• Other Names: ANNPR (Workshop), 7th
• Contents: Learning sequential data with the help of linear systems -- A spiking neural network for personalised modelling of Electrogastogrophy (EGG) -- Improving generalization abilities of maximal average margin classifiers -- Finding small sets of random Fourier features for shift-invariant kernel approximation -- Incremental construction of low-dimensional data representations -- Soft-constrained nonparametric density estimation with artificial neural networks -- Density based clustering via dominant sets -- Co-training with credal models -- Interpretable classifiers in precision medicine: feature selection and multi-class categorization -- On the evaluation of tensor-based representations for optimum-pathforest classification -- On the harmony search using quaternions -- Learning parameters in deep belief networks through firefly algorithm -- Towards effective classification of imbalanced data with convolutional neural networks -- On CPU performance optimization of restricted Boltzmann machine and convolutional RBM -- Comparing incremental learning strategies for convolutional neural networks -- Approximation of graph edit distance by means of a utility matrix -- Time series classification in reservoir- and model-space: a comparison -- Objectness scoring and detection proposals in forward-Looking sonar images with convolutional neural networks -- Background categorization for automatic animal detection in aerial videos using neural networks -- Predictive segmentation using multichannel neural networks in Arabic OCR system -- Quad-tree based image segmentation and feature extraction to recognize online handwritten Bangla characters -- A hybrid recurrent neural network/dynamic probabilistic graphical model predictor of the disulfide bonding state of cysteines from the primary structure of proteins -- Using radial basis function neural networks for continuous anddiscrete pain estimation from bio-physiological signals -- Active learning for speech event detection in HCI -- Emotion recognition in speech with deep learning architectures -- On gestures and postural behavior as a modality in ensemble methods -- Machine learning driven heart rate detection with camera photoplethysmography in time domain.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2016
• Extent: 1 online resource (xi, 335 pages), illustrations
• Subjects: 006.3/2; Computer science; Neural networks (Computer science) -- Congresses; Pattern recognition systems -- Congresses; Neural networks (Computer science); Pattern recognition systems; Computers -- Computer Vision & Pattern Recognition; Computers -- Database Management -- Data Mining; Computers -- Computer Graphics; Computers -- User Interfaces; Computers -- Machine Theory; Pattern recognition; Data mining; Image processing; User interface design & usability; Artificial intelligence; Optical pattern recognition; Data mining; Computer vision; Computers -- Intelligence (AI) & Semantics; Artificial intelligence; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783319461823; 3319461826; 3319461818; 9783319461816
• Related ISBNs: 9783319461816
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed September 19, 2016).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.