Multimodal deep representation learning for video classification
Real-world applications usually encounter data with various modalities, each containing
valuable information. To enhance these applications, it is essential to effectively analyze all …
valuable information. To enhance these applications, it is essential to effectively analyze all …
Multimodal deep learning based on multiple correspondence analysis for disaster management
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 …
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
Multi-view representation learning plays a fundamental role in multimedia data analysis.
Some specific inter-view alignment principles are adopted in conventional models, where …
Some specific inter-view alignment principles are adopted in conventional models, where …
Multiscale deep alternative neural network for large-scale video classification
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 …
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 …
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 …
proposes a feature selection method using hybrid integration of difference models and …
Some properties of the scaled Burt matrix on multiple correspondence analysis
Multiple correspondence analysis (MCA) is well-known in statistics as a data analysis
technique for multiple categorical variables. This method detects and represents underlying …
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 …
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 …
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 …
better form of video analytics. Existing review of literatures pertaining to video analytics are …