DEEP RESIDUAL NETWORK WITH SUBCLASS DISCRIMINANT ANALYSIS FOR CROWD BEHAVIOR RECOGNITION
(2018)
Conference Proceeding
Mandal, B., Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). DEEP RESIDUAL NETWORK WITH SUBCLASS DISCRIMINANT ANALYSIS FOR CROWD BEHAVIOR RECOGNITION.
All Outputs (216)
On Occupancy Based Randomized Routing Schemes in Large Systems of Shared Servers (2018)
Conference Proceeding
Vasantam, T., & Mazumdar, R. R. (2018). On Occupancy Based Randomized Routing Schemes in Large Systems of Shared Servers. . https://doi.org/10.1109/itc30.2018.00013
Superframes, A Temporal Video Segmentation (2018)
Conference Proceeding
Sokeh, H. S., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). Superframes, A Temporal Video Segmentation.
2D Multi-Band PCA and its Application for Ear Recognition (2018)
Conference Proceeding
Zarachoff, M., Sheikh-Akbari, A., & Monekosso, D. (2018). 2D Multi-Band PCA and its Application for Ear Recognition.
AMNet: Memorability Estimation with Attention (2018)
Conference Proceeding
Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). AMNet: Memorability Estimation with Attention. . https://doi.org/10.1109/cvpr.2018.00666
AdCaS: Adaptive Caching for Storage Space Analysis Using Content Centric Networking (2018)
Conference Proceeding
Gulati, A., Aujla, G. S., Kumar, N., Obaidat, M. S., & Ahmed, S. H. (2018). AdCaS: Adaptive Caching for Storage Space Analysis Using Content Centric Networking. . https://doi.org/10.1109/glocomw.2018.8644368
Affect Detection for Human-Horse Interaction (2018)
Conference Proceeding
Althobaiti, T., Katsigiannis, S., West, D., Bronte-Stewart, M., & Ramzan, N. (2018). Affect Detection for Human-Horse Interaction. . https://doi.org/10.1109/ncg.2018.8593113
Adaptive Visual-Depth Fusion Transfer (2018)
Conference Proceeding
Cai, Z., Long, Y., & Shao, L. (2018). Adaptive Visual-Depth Fusion Transfer.
Towards a Software Centric Approach for Ontology Development: Novel Methodology and its Application (2018)
Conference Proceeding
John, S., Shah, N., & Stewart, C. (2018). Towards a Software Centric Approach for Ontology Development: Novel Methodology and its Application.
Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system (2018)
Conference Proceeding
Guan, C., Qin, S., Ling, W., & Long, Y. (2018). Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system.
Remote Heart Rate Extraction Using Microsoft KinectTM v2.0 (2018)
Conference Proceeding
Malasinghe, L., Katsigiannis, S., Ramzan, N., & Dahal, K. (2018). Remote Heart Rate Extraction Using Microsoft KinectTM v2.0. . https://doi.org/10.1145/3232059.3232060
DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR (2018)
Conference Proceeding
Jindal, A., Aujla, G. S., Kumar, N., Prodan, R., & Obaidat, M. S. (2018). DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR. . https://doi.org/10.1109/glocom.2018.8647926
An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System (2018)
Conference Proceeding
Alamri, A., Rusby, H., Cristea, A. I., Kayama, M., Khan, J., Shi, L., & Stewart, C. (2018). An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System.
Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification (2018)
Conference Proceeding
Long, Y., Tan, Y., Organisciak, D., Yang, L., & Shao, L. (2018). Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification.
DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing (2018)
Conference Proceeding
Mudgill, V., Aujla, G. S., Kumar, N., Obaidat, M. S., & Prodan, R. (2018). DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing. . https://doi.org/10.1109/glocomw.2018.8644081
Adaptive Skip Graph Framework for Peer-to-Peer Networks: Search Time Complexity Analysis (2018)
Conference Proceeding
Goyal, A., Batra, S., Kumar, N., Aujla, G. S., & Obaidat, M. S. (2018). Adaptive Skip Graph Framework for Peer-to-Peer Networks: Search Time Complexity Analysis. . https://doi.org/10.1109/glocom.2018.8648018
RoVAN: A Rough Set-based Scheme for Cluster Head Selection in Vehicular Ad-hoc Networks (2018)
Conference Proceeding
Dua, A., Sharma, P., Ganju, S., Jindal, A., Aujla, G. S., Kumar, N., & Rodrigues, J. J. (2018). RoVAN: A Rough Set-based Scheme for Cluster Head Selection in Vehicular Ad-hoc Networks. . https://doi.org/10.1109/glocom.2018.8647576
Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement (2018)
Conference Proceeding
Alzahrani, I. R., Ramzan, N., Katsigiannis, S., & Amira, A. (2018). Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement. . https://doi.org/10.1007/978-3-319-78753-4
SNPs-based Hypertension Disease Detection via Machine Learning Techniques (2018)
Conference Proceeding
Alzubi, R., Ramzan, N., Alzoubi, H., & Katsigiannis, S. (2018). SNPs-based Hypertension Disease Detection via Machine Learning Techniques. . https://doi.org/10.23919/iconac.2018.8748972
Making sense of sensors: mobile sensor security awareness and education (2018)
Conference Proceeding
Mehrnezhad, M., Toreini, E., & Alajrami, S. (2018). Making sense of sensors: mobile sensor security awareness and education.