2016 Sixth International Conference on Information Science and Technology (ICIST)最新文献

Optimization design and implementation of gateway based on firewall for access control 基于防火墙的网关访问控制优化设计与实现

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-06-02 DOI: 10.1109/ICIST.2016.7483393

Y. Zhu

引用次数: 2

Cultivation of periodontal tissue cell sheet by a new way for cell sheet engineering 利用细胞工程的新方法培养牙周组织细胞片

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483376

Ze-Jian Li, Chunting Lu, Shu Y. Ma, Ren-fa Lai, Jiong Li

引用次数: 0

An exact word lattice generation method in the weighted finite-state transducer framework 加权有限态传感器框架中的精确词格生成方法

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483445

Guangmou Pan, Cheng Lu, Jia Liu

引用次数: 0

Multi-stage feature learning based object recognition and 3D pose estimation with kinect 基于多阶段特征学习的kinect物体识别与三维姿态估计

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483465

Wei Zeng, Guoyuan Liang, Can Wang, Xinyu Wu

{"title":"Multi-stage feature learning based object recognition and 3D pose estimation with kinect","authors":"Wei Zeng, Guoyuan Liang, Can Wang, Xinyu Wu","doi":"10.1109/ICIST.2016.7483465","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483465","url":null,"abstract":"Impressive achievements have been achieved over the years in object recognition and 3D pose estimation while detecting objects and estimating their 3D poses reliably is still a very challenging problem, especially for texture-less objects in heavily cluttered scenes. In this paper, we introduce an improved approach based on multi-stage feature learning to identify object as well as their 3D orientation efficiently. Our approach is motivated by visual neuroscience models. Currently similar architectures have been successfully applied to pedestrian detection, traffic recognition, face representation, etc. We compute the feature descriptors by multi-stage convolutional neural networks (CNNs) which could map the object identity and 3D poses to the Euclidean distance space by evaluating the similarity between descriptors. By contrast with classical approaches, our method relies on fast and approximate Nearest Neighbor (NN) matching to solve the large scale problems instead of one classifier per object or multi-class classifiers whose complexity grows rapidly with the number of objects. The experiments of detecting poorly-textured objects in cluttered scenarios have been carried out to verify the effectiveness and efficacy of the proposed approach.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"43 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120868609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Enhancing underwater image by dark channel prior and color correction 利用暗通道先验和色彩校正对水下图像进行增强

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483466

Min Han, Chao Chen

引用次数: 8

Tensor denoising using Bayesian CP factorization 使用贝叶斯CP分解的张量去噪

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483384

Lihua Gui, Qibin Zhao, Jianting Cao

引用次数: 5

A robust tracking algorithm based on sparse histogram 一种基于稀疏直方图的鲁棒跟踪算法

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483458

Feibin Li, Tieyong Cao, Hui Huang, Wen Wang, Zhijun Song

{"title":"A robust tracking algorithm based on sparse histogram","authors":"Feibin Li, Tieyong Cao, Hui Huang, Wen Wang, Zhijun Song","doi":"10.1109/ICIST.2016.7483458","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483458","url":null,"abstract":"In order to strengthen the robustness of video object tracking and overcome the drastic appearance changes caused by diverse challenges, a generative algorithm based on sparse histogram was proposed. Firstly, the image was partitioned into patches by using overlapped sliding window. Secondly, the local features of the object were extracted, and the sparse representation was exploited to achieve the object coefficient vector. Here the Augmented Lagrange Multiplier (ALM) was introduced to solve the h norm minimization problem, and then the occlusion information of the object was computed to construct sparse feature histogram to be the templates. Finally, the candidate state which had highest similarity score computed with reference templates was chosen as the best result within the particle filter framework. In addition, a simple yet efficient update mechanism was formulated to update occlusion information to construct new template histogram, which handled the variation of the object appearance. The tracking results on diverse testing video sequences show that our algorithm has a better peformance than other approaches.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122853802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated chip health transducer and wireless control for biomedical and computer systems 用于生物医学和计算机系统的集成芯片健康传感器和无线控制

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483374

W. Lai, M. Chung

引用次数: 0

SAR image unsupervised segmentation based on a modified fuzzy C-means algorithm 基于改进模糊c均值算法的SAR图像无监督分割

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483469

Yuanyuan Hu, Jianchao Fan, Jun Wang

引用次数: 2

An auditory steady state response detection method via quadrature matched filter 一种基于正交匹配滤波器的听觉稳态响应检测方法

2016 Sixth International Conference on Information Science and Technology (ICIST) Pub Date : 2016-05-06 DOI: 10.1109/ICIST.2016.7483385

Haiyan Suo, Bing Sun, Nan Hu, Shiqi Lu, Guo-bing Chen

{"title":"An auditory steady state response detection method via quadrature matched filter","authors":"Haiyan Suo, Bing Sun, Nan Hu, Shiqi Lu, Guo-bing Chen","doi":"10.1109/ICIST.2016.7483385","DOIUrl":"https://doi.org/10.1109/ICIST.2016.7483385","url":null,"abstract":"Auditory steady-state response (ASSR) has been regarded as a convenient and valid electrophysiological technique in audiometry, anesthesia monitoring, neurologic evaluation, etc. Evoked by periodic auditory stimulus such as the amplitude modulation tone, ASSR behaves like a periodic electrical activity whose frequency is determined by the stimulation modulation rate. Since ASSR is small and submerged in spontaneous electroencephalogram (EEG) and noise, it is very important that it can be detected efficiently and accurately in real time. Many studies have demonstrated the influence of stimulus parameters and subject variables on ASSR or explored the clinical applications of ASSR. However, there are no methods established in rigorous detection theory to determine whether the ASSR is present with the false alarm probability fixed. In this study, the ASSR detection problem is modeled as detecting a sinusoidal signal from noise without the knowledge of amplitude and phase, and a quadrature matched filter method is employed. Nine paradigms of ASSR experiments were performed and the recorded EEG data were used to verify the efficiency of the proposed method. By calculating the false alarm probabilities and detection probabilities in different paradigms, we confirmed the efficiency of the proposed method.","PeriodicalId":159643,"journal":{"name":"2016 Sixth International Conference on Information Science and Technology (ICIST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114690202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2