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Cognitive Computation

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13-11-2019

Cognitive Modelling and Learning for Multimedia Mining and Understanding

Authors: Jinchang Ren, Amir Hussain, Junwei Han, Xiuping Jia

Published in: Cognitive Computation | Issue 6/2019

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Cognitive modelling and learning have become a new trend for advanced signal analysis, especially for semantic content extraction and understanding. Various approaches have been proposed in recent years to address a range of underlying challenges, including data acquisition, denoising, feature extraction, dimensionality reduction, restoration, data compression, segmentation, detection and classification [1, 2]. In addition, fusion and big data mining is also receiving growing attention for enhanced modelling and analysis. …

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J Ren et al (eds), Advances in brain inspired cognitive systems: Proc. of 9^th Int. Conf., BICS’2018, Lecture Notes in Artificial Intelligence, vol. 10989, Springer, 2018.

J Ren et al (eds), Advances in brain inspired cognitive systems: Proc. of 10^th Int. Conf., BICS’2019, Lecture Notes in Artificial Intelligence, vol. 11691, Springer, 2019.

Yang X, Huang K, Zhang R, Goulermas JY. A novel deep density model for unsupervised learning. Cogn Comput 2019; https://doi.org/10.1007/s12559-018-9566-9.

Ye Z, Lyu F, Li L,Sun Y, Fu Q, Hu F. Unsupervised object transfiguration with attention. Cogn Comput 2019; https://doi.org/10.1007/s12559-019-09633-3, in press, 2019.

Ding G, Chen M, Zhao S, Chen S, Han J, Liu Q. Neural image caption generation with weighted training and reference. Cogn Comput 2019; https://doi.org/10.1007/s12559-018-9581-x.

Li Z, Xia Y, Sahli H. CSA-DE/EDA: A novel bio-inspired algorithm for function optimization and segmentation of brain MR images. Cogn Comput 2019; https://doi.org/10.1007/s12559-019-09663-x.

Ma X, Liu W, Tao D, Zhou Y. Ensemble p-Laplacian regularization for scene image recognition. Cogn Comput 2019; https://doi.org/10.1007/s12559-019-09637-z.

Du L, Hu H. Simultaneous discriminative feature and adaptive weight learning based on group sparse representation for face recognition with occlusion and illumination changes. Cogn Comput 2019; in press.

Gao F, Huang T, Sun J, Jun W, Hussain A, Yang E. A new algorithm of SAR image target recognition based on improved deep convolutional neural network. Cogn Comput 2019; https://doi.org/10.1007/s12559-018-9563-z.

10.

Sun J, Huang Q, Li X. Determination of temporal stock investment styles via biclustering trading patterns. Cogn Comput 2019; https://doi.org/10.1007/s12559-019-9626-9.

11.

Cai Z, Shao L. RGB-D scene classification via multi-modal feature learning. Cogn Comput 2019; https://doi.org/10.1007/s12559-018-9580-y.

Title: Cognitive Modelling and Learning for Multimedia Mining and Understanding
Authors: Jinchang Ren
Amir Hussain
Junwei Han
Xiuping Jia
Publication date: 13-11-2019
Publisher: Springer US
Published in: Cognitive Computation / Issue 6/2019
Print ISSN: 1866-9956
Electronic ISSN: 1866-9964
DOI: https://doi.org/10.1007/s12559-019-09684-6

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Other articles of this Issue 6/2019

CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images

Determination of Temporal Stock Investment Styles via Biclustering Trading Patterns

RGB-D Scene Classification via Multi-modal Feature Learning

Clustering of Remote Sensing Imagery Using a Social Recognition-Based Multi-objective Gravitational Search Algorithm

Unsupervised Object Transfiguration with Attention

A Novel Deep Density Model for Unsupervised Learning

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