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Titlebook: Computer Vision; Second CCF Chinese C Jinfeng Yang,Qinghua Hu,Deyu Meng Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017

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發(fā)表于 2025-3-25 04:17:29 | 只看該作者
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發(fā)表于 2025-3-25 14:23:45 | 只看該作者
An Efficient System for Partial Occluded Face Recognitionstem also provides flexible functionality and extensions to adopt other biometric recognition algorithm for cross-checking and provides a higher reliability. Experiments show that the proposed system offers a good performance and is robust to face occlusions.
24#
發(fā)表于 2025-3-25 18:39:55 | 只看該作者
Visual Saliency Fusion Based Multi-feature for Semantic Image Retrievalt. This proposal has been implemented on three widely used benchmark databases and the results evaluated in terms of mean Average Precision (mAP), precision, recall, and .1-measure show that our proposal outperforms the referred state-of-the-art approaches.
25#
發(fā)表于 2025-3-25 21:06:56 | 只看該作者
Structured Multi-view Supervised Feature Selection Algorithm Researcheach view features and the importance of individual feature in each view to boost the feature selection performance. Extensive experiments are performed on two image datasets and the results show the effectiveness of the proposed method SMSFS.
26#
發(fā)表于 2025-3-26 02:09:44 | 只看該作者
Shape-Color Differential Moment Invariants Under Affine Transformstransforms. And 50 instances of SCDMIs are obtained. In experiments, several commonly used image descriptors and SCDMIs are used in image classification and retrieval for color image databases, respectively. By comparing the results, we find that SCDMIs get better results.
27#
發(fā)表于 2025-3-26 07:33:02 | 只看該作者
Unbounded HIBE with Tight Securityibutions include tree structure transformation, image package processing and task parallelism. Our GPU-based image index is up?to around thirty times faster than the original method and the whole GPU-based vocabulary tree algorithm is improved by twenty percentage in speed.
28#
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29#
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