Titlebook: Computer Vision; CCF Chinese Conferen Hongbin Zha,Xilin Chen,Qiguang Miao Conference proceedings 2015 Springer-Verlag Berlin Heidelberg 201

Erythropoietin

Introduction: Democracy in Crisis?xploited by pixel weight learning (PWL) model. Efficient algorithms were also proposed to fastly learn the pixel’s weight and accurately recover the occluded area. The experiments on face recognition in several representative datasets clearly show the advantage of the proposed SRRC in accuracy and efficiency.

paroxysm

脫落

Sparse Representation with Regularization Term for Face Recognition, in the SRC model and considers both sparsity and correlation. The TSRC method can benefits from both .-norm and .-norm, which is flexible and can obtain satisfactory results. Experimental results on 2 face databases clearly show that the proposed TSRC method outperforms many state-of-the-art face recognition methods.

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移植

Structured Regularized Robust Coding for Face Recognition,xploited by pixel weight learning (PWL) model. Efficient algorithms were also proposed to fastly learn the pixel’s weight and accurately recover the occluded area. The experiments on face recognition in several representative datasets clearly show the advantage of the proposed SRRC in accuracy and efficiency.

業(yè)余愛(ài)好者

Conference proceedings 2015a, in September 2015.?.The total of 89 revised full papers presented in both volumes were carefully reviewed and selected from 176 submissions. The papers address issues such as computer vision, machine learning, pattern recognition, target recognition, object detection, target tracking, image segme

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懦夫

1865-0929 d and selected from 176 submissions. The papers address issues such as computer vision, machine learning, pattern recognition, target recognition, object detection, target tracking, image segmentation, image restoration, face recognition, image classification..978-3-662-48569-9978-3-662-48570-5Series ISSN 1865-0929 Series E-ISSN 1865-0937

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