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Feature Fusion Based Face Recognition Using EFM
2004This paper presents a fusing feature Fisher classifier (F3C) approach for face recognition, which is robust to moderate changes of illumination, pose and facial expression. In the F3C framework, a face image is first divided into smaller sub-images and then the discrete cosine transform (DCT) technique is applied to the whole face image and some sub ...
Dake Zhou, Xin Yang 0007
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CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model
arXiv.orgElectroencephalography (EEG) provides real-time insights into brain activity and supports diverse applications in neuroscience. While EEG foundation models (EFMs) have emerged to address the scalability issues of task-specific models, current approaches ...
Jingying Ma +6 more
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Fetal Scalp pH Sampling with EFM vs. EFM Alone: A two-delivery cost-effectiveness analysis
American Journal of Obstetrics and Gynecology, 2023Sarina R. Chaiken +3 more
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Elastic Feature Consolidation for Cold Start Exemplar-free Incremental Learning
International Conference on Learning RepresentationsExemplar-Free Class Incremental Learning (EFCIL) aims to learn from a sequence of tasks without having access to previous task data. In this paper, we consider the challenging Cold Start scenario in which insufficient data is available in the first task ...
Simone Magistri +4 more
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Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
Neural Information Processing SystemsIn recent years, machine learning has established itself as a powerful tool for high-resolution weather forecasting. While most current machine learning models focus on deterministic forecasts, accurately capturing the uncertainty in the chaotic weather ...
Joel Oskarsson +3 more
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Review of Intelligent Energy Field Manufacturing (EFM)
ASME 2008 International Manufacturing Science and Engineering Conference, Volume 1, 2008The long cycles of modern economy is driven by technology innovations. New methodologies are needed to increase the efficiency of technology innovations. Intelligent Energy Field Manufacturing is one of such methodologies. The evolution and the fundamentals of Intelligent Energy Field Manufacturing (EFM) are reviewed in this paper.
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IEEE International Conference on Dielectrics, 2016
D. El Khoury +4 more
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D. El Khoury +4 more
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EFM: evolutionary fuzzy model for dynamic activities recognition using a smartphone accelerometer
Applied intelligence (Boston), 2013Muhammad Fahim +3 more
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