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Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation None

Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 471-480 doi: 10.1631/FITEE.1620342

Abstract: We propose a fully automatic brain tumor segmentation method based on kernel sparse coding.Sparse coding is performed on the feature vectors extracted from the original MRI images, which are a

Keywords： Brain tumor segmentation     Kernel method     Sparse coding     Dictionary learning    

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Asystematic review of structured sparse learning Review

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 445-463 doi: 10.1631/FITEE.1601489

Abstract: from diverse scientific research fields and industrial development have led to increased interest in sparseStructured sparse learning encodes the structural information of the variables and has been quite successfulThese regularizations have greatly improved the efficacy of sparse learning algorithms through the useIn this article, we present a systematic review of structured sparse learning including ideas, formulationsimplementations, and compare the computational complexity of typical optimization methods to solve structured sparse

Keywords： Sparse learning     Structured sparse learning     Structured regularization    

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Sparse fast Clifford Fourier transform Article

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1131-1141 doi: 10.1631/FITEE.1500452

Abstract: The sparse fast Fourier transform (sFFT) theory deals with the big data problem by using input data selectivelyThis has inspired us to create a new algorithm called sparse fast CFT (SFCFT), which can greatly improve

Keywords： Sparse fast Fourier transform (sFFT)     Clifford Fourier transform (CFT)     Sparse fast Clifford Fourier    

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Non-convex sparse optimization-based impact force identification with limited vibration measurements

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0762-2

Abstract: mn> regularization method often struggles to generate sparseMJX-TeXAtom-ORD">ℓ1 sparseTo alleviate such limitations, a novel non-convex sparse regularization method that uses the non-convexrealize simultaneous impact localization and time history reconstruction with an under-determined, sparse

Keywords： impact force identification     inverse problem     sparse regularization     under-determined condition     alternating    

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Uncertainty propagation analysis by an extended sparse grid technique

X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 33-46 doi: 10.1007/s11465-018-0514-x

Abstract: In this paper, an uncertainty propagation analysis method is developed based on an extended sparse gridSubsequently, within the sparse grid numerical integration framework, the statistical moments of the

Keywords： uncertainty propagation analysis     extended sparse grid     maximum entropy principle     extended Gauss integration    

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Research and implementation of flexible coding system oriented multi-view

ZHANG Xuhui, ZHANG Xu, NING Ruxin

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 448-452 doi: 10.1007/s11465-007-0077-8

Abstract: On the basis of the requirements of a product data management system (PDM) for the flexible coding system, the principle of the flexible coding system oriented multi-view is analyzed.Generation and utilization of coding should be associated with the context of the object.rules and drive the automatic generation of object coding in different views (contexts).and elaborate the flexible coding process of the system.

Keywords： foundation     different     management     utilization     Generation    

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Laplacian sparse dictionary learning for image classification based on sparse representation Article

Fang LI, Jia SHENG, San-yuan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1795-1805 doi: 10.1631/FITEE.1600039

Abstract: Sparse representation is a mathematical model for data representation that has proved to be a powerfulAs one of the building blocks of the sparse representation method, dictionary learning plays an importantWe incorporate the Laplacian weighted graph in the sparse representation model and impose the l1-normAn LSD is a sparse overcomplete dictionary that can preserve the intrinsic structure of the data andResults show the advantages of the proposed LSD algorithm over state-of-the-art sparse representation

Keywords： Sparse representation     Laplacian regularizer     Dictionary learning     Double sparsity     Manifold    

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A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 54-57

Abstract:

Because it takes too much of time in fractal image coding, the paper analyses the factors that affectthe speed of fractal image coding , and proposes a novel idea by using the reformed variance (tentatively

Keywords： fractal coding     image compression     variance    

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A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 883-891 doi: 10.1631/FITEE.1500071

Abstract: In this paper, a joint reversibility-gain (R-G) model is proposed for integer-KLT design in video codingThe ‘gain’ means transform coding gain (TCG), which is a widely used criterion for transform design invideo coding.maximizes the TCG under some assumptions, here we define the TCG loss ratio (LR) to measure how much coding

Keywords： Integer transform     Karhunen-Loè     ve transform (KLT)     Integer-KLT     Transform coding     Video coding    

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Certificateless broadcast multi-signature for network coding Research Article

Huifang YU, Zhewei QI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1369-1377 doi: 10.1631/FITEE.2200271

Abstract: can save wireless network resources and is very fast in comparison with traditional routing. In real application scenarios, is vulnerable to pollution attacks and forgery attacks. To solve these problems, the certificateless broadcast multi-signature for (NC-CLBMS) method is devised, where each source node user generates a multi-signature about the message vector, and the intermediate node linearly combines the received data. NC-CLBMS is a multi-source multi-signature method with anti-pollution and anti-forgery advantages; moreover, it has a fixed signature length and its computation efficiency is very high. NC-CLBMS has extensive application prospects in unmanned aerial vehicle (UAV) communication networks, fifth-generation wireless networks, wireless sensor networks, mobile wireless networks, and Internet of Vehicles.

Keywords： Network coding     Certificateless multi-signature     Linear combination     Homomorphic hash function    

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Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 389-402 doi: 10.1631/FITEE.1500385

Abstract: In particular, the sparse and noisy nature of social media data poses serious challenges in pinpointingknowledge, this is the first time home location has been detected at such a fine granularity using sparse

Keywords： Home location     Mobility patterns     Healthcare    

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Global transcriptome analysis for identification of interactions between coding and noncoding RNAs during

Nan Ding,Jiafei Xi,Yanming Li,Xiaoyan Xie,Jian Shi,Zhaojun Zhang,Yanhua Li,Fang Fang,Sihan Wang,Wen Yue,Xuetao Pei,Xiangdong Fang

Frontiers of Medicine 2016, Volume 10, Issue 3,   Pages 297-310 doi: 10.1007/s11684-016-0452-0

Abstract:

Studies on coding genes, miRNAs, and lncRNAs during erythroid development have been performed in recentIn the present study, we compared the dynamics of coding genes, miRNA, and lncRNA expression profiles

Keywords： erythroid differentiation     hematopoietic stem cell     RNA-seq     miRNA     lncRNA    

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Robust object tracking with RGBD-based sparse learning Article

Zi-ang MA, Zhi-yu XIANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 989-1001 doi: 10.1631/FITEE.1601338

Abstract: In this paper, a novel RGBD and sparse learning based tracker is proposed.The range data is integrated into the sparse learning framework in three respects.demonstrate that the proposed tracker outperforms the state-of-the-art tracking algorithms, including both sparse

Keywords： Object tracking     Sparse learning     Depth view     Occlusion templates     Occlusion detection    

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Vector quantization: a review Regular Papers

Ze-bin WU, Jun-qing YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 507-524 doi: 10.1631/FITEE.1700833

Abstract:

Vector quantization (VQ) is a very effective way to save bandwidth and storage for speech coding andimage coding.

Keywords： Approximate nearest neighbor search     Image coding     Vector quantization    

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Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks None

Feng WEI, Wei-xia ZOU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 662-673 doi: 10.1631/FITEE.1700020

Abstract: multicast networks that have separate control and data planes, we focus on the minimum-power-cost network-coding

Keywords： Network coding subgraph     Minimum power cost     5G     Separation architecture    

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Title Author Date Type Operation

Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation

Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU

Journal Article

Asystematic review of structured sparse learning

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Journal Article

Sparse fast Clifford Fourier transform

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Journal Article

Non-convex sparse optimization-based impact force identification with limited vibration measurements

Journal Article

Uncertainty propagation analysis by an extended sparse grid technique

X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING

Journal Article

Research and implementation of flexible coding system oriented multi-view

ZHANG Xuhui, ZHANG Xu, NING Ruxin

Journal Article

Laplacian sparse dictionary learning for image classification based on sparse representation

Fang LI, Jia SHENG, San-yuan ZHANG

Journal Article

A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Journal Article

A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Journal Article

Certificateless broadcast multi-signature for network coding

Huifang YU, Zhewei QI

Journal Article

Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Journal Article

Global transcriptome analysis for identification of interactions between coding and noncoding RNAs during

Nan Ding,Jiafei Xi,Yanming Li,Xiaoyan Xie,Jian Shi,Zhaojun Zhang,Yanhua Li,Fang Fang,Sihan Wang,Wen Yue,Xuetao Pei,Xiangdong Fang

Journal Article

Robust object tracking with RGBD-based sparse learning

Zi-ang MA, Zhi-yu XIANG

Journal Article

Vector quantization: a review

Ze-bin WU, Jun-qing YU

Journal Article

Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks

Feng WEI, Wei-xia ZOU

Journal Article