Titlebook: Computer Vision and Image Processing; 8th International Co Harkeerat Kaur,Vinit Jakhetiya,Sanjeev Kumar Conference proceedings 2024 The Edi

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粗鲁的人

https://doi.org/10.1007/978-3-662-57970-1aintaining the security of biometric data are two challenging tasks. Existing methods, in general, use direct application of biometric templates, which can reveal the user’s biometric data and thus useless for future applications once it is compromised. To address this issue, researchers advocate mu

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Algorithms for Next Generation Networks efficient representation with which walking patterns i.e., gait can be disentangled from the visual appearance of the subjects caused by covariate factors such as variation in view angles, clothing and carrying conditions. Since dynamic areas contain the most informative part of the human gait and

挑剔为人

Algorithms for Next Generation Networksng, where accurate and interpretable machine learning models are crucial for effective diagnosis and treatment planning. Grad-CAM is a baseline that highlights the most critical regions of an image used in a deep learning model’s decision-making process, increasing interpretability and trust in the

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LIMIT

Géraldine Jean,Andreea Radulescu,Irena Rusu learning-based approaches have been proposed to mitigate the effect of haze and generate haze-free images. Many conventional methods are constrained by their lack of awareness regarding scene depth and their incapacity to capture long-range dependencies. In this paper, a method that uses residual l

Dissonance

Searching and Indexing Circular Patternsr by exchanging intermediate updates over multiple rounds of communication. However, this approach requires many communication rounds for the central model to learn data generalization. Each local model updates the central model parameters in different directions of the multi-dimensional parameter s

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David Weese,Marcel H. Schulz,Hugues Richardntrol systems. However, despite the advancement of security systems, human monitoring and involvement are still necessary to effectively combat these crimes. This paper provides a robust automated handgun identification technique for recorded videos and live CCTV footage that may be used for both co

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