handle 发表于 2025-3-26 23:38:35

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Solace 发表于 2025-3-27 03:59:03

Statistical Learning-Based Face Recognition,ys on from a single viewpoint of application, method, or condition, this book has a comprehensive survey on face recognition from practical applications, sensory inputs, methods, and application conditions. In the sensory inputs, we review face recognition from image-based, video-based, 3D-based, an

巨大没有 发表于 2025-3-27 06:19:54

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d-limonene 发表于 2025-3-27 09:37:08

Kernel Principal Component Analysis (KPCA)-Based Face Recognition,processing, feature extraction based no dimensionality reduction plays the important role in the relative areas. Feature extraction simplifies the amount of resources required to describe a large set of data accurately for classification and clustering. On the algorithms, when the input data are too

Nonconformist 发表于 2025-3-27 16:04:37

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infantile 发表于 2025-3-27 20:32:20

Kernel Manifold Learning-Based Face Recognition,n aims to develop a meaningful low-dimensional subspace in a high-dimensional input space such as PCA and LDA. LDA is to find the optimal projection matrix with Fisher criterion through considering the class labels, and PCA seeks to minimize the mean square error criterion.

惊奇 发表于 2025-3-28 01:12:08

Kernel-Learning-Based Face Recognition for Smart Environment,e implemented in an ambient space. Multiple sensors such as audio and video are used for identification and ensure the safety. The wrist pulse signal detector is used to health analysis. These multisensor multimedia systems are be recording, processing, and analyzing the sensory media streams and pr

斥责 发表于 2025-3-28 05:16:20

Kernel Construction for Face Recognition, recognition algorithm should sufficiently consider the following two issues: what features are used to represent a face image and how to classify a new face image based on this representation. So the facial feature extraction plays an important role in face recognition.

folliculitis 发表于 2025-3-28 08:07:35

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缝纫 发表于 2025-3-28 13:38:51

Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Pancal solution allow analyses of the noise transmission from the source to the passenger ear. Within this contribution, numerical methods are applied within a multidisciplinary simulation chain resulting in a prediction of cabin noise due to fluid noise sources. Noise by the jet and the turbulent boun
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查看完整版本: Titlebook: Kernel Learning Algorithms for Face Recognition; Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Pan Book 2014 Springer Science+Business Media New Yo