Multimodal deep representation learning for video classification

H Tian, Y Tao, S Pouyanfar, SC Chen, ML Shyu - World Wide Web, 2019 - Springer
Real-world applications usually encounter data with various modalities, each containing
valuable information. To enhance these applications, it is essential to effectively analyze all …

Multimodal deep learning based on multiple correspondence analysis for disaster management

S Pouyanfar, Y Tao, H Tian, SC Chen, ML Shyu - World Wide Web, 2019 - Springer
The fast and explosive growth of digital data in social media and World Wide Web has led to
numerous opportunities and research activities in multimedia big data. Among them …

Skeletonnet: A hybrid network with a skeleton-embedding process for multi-view image representation learning

S Yang, L Li, S Wang, W Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Multi-view representation learning plays a fundamental role in multimedia data analysis.
Some specific inter-view alignment principles are adopted in conventional models, where …

Multiscale deep alternative neural network for large-scale video classification

J Wang, W Wang, W Gao - IEEE Transactions on Multimedia, 2018 - ieeexplore.ieee.org
With the rapid increase in the amount of multimedia data, video classification has become a
demanding and challenging research topic. Compared with image classification, video …

Cross-media web video event mining based on multiple semantic-paths embedding

X Xiao, M Du, S Xu, G Liu, C Zhang - Neural Computing and Applications, 2024 - Springer
Web video event mining based on cross-media fusion has become a research hotspot.
However, each video is only described by a dozen noisy words, resulting in extremely …

Feature selection using different evaluate strategy and random forests

Z Wang, H Li, B Nie, J Du, Y Du… - … Conference on Computer …, 2021 - ieeexplore.ieee.org
Aiming at the dimensional disaster and over-fitting problems in data analysis, this paper
proposes a feature selection method using hybrid integration of difference models and …

Some properties of the scaled Burt matrix on multiple correspondence analysis

US Pasaribu, KE Lestari, SW Indratno… - Journal of Hunan …, 2021 - jonuns.com
Multiple correspondence analysis (MCA) is well-known in statistics as a data analysis
technique for multiple categorical variables. This method detects and represents underlying …

[PDF][PDF] Contextualisation of the Current Knowledge and Technology Transfer-Related Literature: The Text Analysis

V Bureš, T Otčenášková - Maci, J., Maresova, P., Firlej, K., Soukal, I …, 2021 - academia.edu
The importance and relevancy of technology and knowledge transfer has been growing
together with the interest and attractiveness for the organisations and institutions from both …

Simplified Video Surveillance Framework for Dynamic Object Detection under Challenging Environment

CG Madhu - International Journal of Electrical and Computer …, 2019 - search.proquest.com
An effective video surveillance system is highly essential in order to ensure constructing
better form of video analytics. Existing review of literatures pertaining to video analytics are …

Simplified video surveillance framework for dynamic object detection under challenging environment.

SR GM - International Journal of Electrical & Computer …, 2019 - search.ebscohost.com
An effective video surveillance system is highly essential in order to ensure constructing
better form of video analytics. Existing review of literatures pertaining to video analytics are …