The paper presents Wasserstein manifold nonnegative tensor factorization (WMNTF), a new approach to nonnegative tensor factorization (NTF), a tool for feature extraction from non-negative high-order data. The conventional NTF methods…
Continue readingThe article presents IoTGeM, a methodology for modelling IoT network attacks, focusing on generalizability and improved detection performance. It introduces an improved rolling window approach for feature extraction and a…
Continue readingThe article introduces a new method of feature extraction for deformable linear objects. The method uses a Bezier curve to represent the original geometric shape, combined with a parameterization technique….
Continue readingThe study deals with the complex activity detection (CompAD) in videos, a field that extends the analysis of actions in a video to long-term activities. The researchers propose a hybrid…
Continue readingThe article discusses the challenge of detecting replay attacks, which are simple but effective voice spoofing attacks. A method is proposed that uses audio compression to assist feature extraction, which…
Continue readingThe paper discusses the importance of deep learning methods in text classification due to the rapid growth of online information. Text classification which automatically sorts documents into predefined categories based…
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