检索结果-内蒙古大学图书馆

Segment and label indoor scene based on RGB-D for the visually impaired 1

20th Anniversary International Conference on MultiMedia Modeling, MMM 2014

作者： Wang, Zhe Liu, Hong Wang, Xiangdong Qian, Yueliang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (数字)9783319041148

ISBN: (纸本)9783319041131

The growing study in RGB-D sensor and 3D point cloud have made new progress in obstacle avoidance for the visually impaired. However, it remains a challenging problem due to the difficulty in design a robust and real-time algorithm. In this paper, we focus on scene segmentation and labeling. As man-made indoor scene contains many planar area and structure, plane segmentation and classification is important for further scene analysis. This work propose a multiscale-voxel strategy to reduce the effects of noise and improve plane segmentation. Then the segmentation result is combined with depth data and color data to apply graph-based image segmentation algorithm. After that, a cascaded decision tree is trained to classify different segments into different semantical type. The method is tested on part of the NYU Depth Dataset. Experimental results show that the proposed method combines the advantages of depth data and the geometry characteristics of the scene, and improves scene segmentation and obstacle detection. © 2014 Springer International Publishing.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

MR-COF:A Genetic MapReduce Configuration Optimization Framework

MR-COF:A Genetic MapReduce Configuration Optimization Framew...

引用

The 7th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP2015(2015年第七届国际并行体系结构,算法和编程研讨会)

作者： Chao Liu Deze Zeng Hong Yao Chengyu Hu Xuesong Yan Yuanyuan Fan China Services Computing Technology and System Lab and Cluster and GridComputing Lab Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhan 430074China

Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing *** has many configuration parameters,some of which are crucial to the performance of MapReduce *** practice,these parameters... 详细信息

ISBN: (纸本)9783319271392

关键词： Mapreduce Massive data processing Parameter configuration Performance optimization Search algorithm

来源：评论

学校读者我要写书评

暂无评论

Gaussian Mixture Model Based Interest Prediction In Social Networks

Gaussian Mixture Model Based Interest Prediction In Social N...

引用

IEEE International Conference on Cloud computing Technology and Science (CloudCom)

作者： Dongyun An Xianghan Zheng Chunming Rong Tahar Kechadi ChongCheng Chen College of Mathematics and Computer Science Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou China Department of Electrical Engineering and Computer Science Stavanger Norway University College Dublin School of Computer Science and Informatics Ireland

In this paper, we investigate a typical clustering technology, namely, Gaussian mixture model (GMM)-based approach, for user interest prediction in social networks. The establishment of the model follows the following process: collect dataset from 4613 users and more than 16 million messages from Sina Weibo, obtain each user's interest eigenvalue sequence and establish GMM model to clustering users. In theory and experiment, this approach is feasible. The GMM-based approach considers the prediction accuracy and consuming time. A series of experiments are conducted to validate the feasibility and efficiency of the proposed solution and whether it can achieve a higher accuracy of prediction compared with other approaches, such as SVM and K-means. Further experiments show that GMM-based approach could produce higher prediction accuracy of 93.9%, thus leveraging computation complexity.

关键词： Predictive models Feature extraction Social network services Gaussian mixture model Eigenvalues and eigenfunctions Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Study of automated PCNN system based on fruit fly optimization algorithm

引用

Journal of Computational information Systems 2014年第15期10卷 6635-6642页

作者： Zhao, Han Ding, Shifei School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

As the third-generation neural network technology, pulse coupled neural network (PCNN) had used in many fields successfully, but it hindered its popularize that so many parameters of the PCNN need to be set up. This paper presented a new method to automatically determine the parameters of the PCNN based on Fruit Fly Optimization Algorithm (FOA). In proposed method, the information entropy of the image is defined as the fitness function of Fruit Fly Optimization Algorithm when searching the optimal solution. Mutual information is used as the evaluation criteria in the simulation experiments. Contrasted the simulation result with the experiments used the Otsu method, manual adjustment method, genetic algorithm method and PSO method, it shows that the FOA method is better than the others. © 2014 Binary information Press

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Social sensing enhanced time estimation for bus service

Social sensing enhanced time estimation for bus service

引用

作者： Liu, Jin Li, Juan Cui, Xiaohui Niu, Xiaoguang Sun, Xiaoping Zhou, Jing State Key Lab. of Software Engineering Computer School Wuhan University Wuhan China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China International School of Software Wuhan University Wuhan China Computer School Wuhan University Wuhan China Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science Communication University of China China

The precise prediction of bus routes or the arrival time of buses for a traveler can enhance the quality of bus service. However, many social factors influence people's preferences for taking buses. These social factors may include heavy traffic cost, traffic congestion, poor air quality and so forth. Existing prediction techniques rarely consider social sensing when predicting the bus arrival time. Accordingly, this paper proposes a social sensing enhanced service for predicting bus routes, which integrates sensing ability and social networks to understand and measure the influence between social events and vehicle velocity. We focus on the analysis of two different attributions: PT service quality attributions PEAs and road condition attributions PRCAs. Both of them synthesize the social sensing in their evaluation of bus routes. PEA represents individual preferences and PRCA represents physical factors that significantly influence vehicle velocity. Bus relevant social events were further categorized into PEA events or PRCA events. PEAs of buses were scored according to the tendency of bus conditions reflected in social events. Furthermore, an artificial neural network prediction model is established to estimate the bus travel time. © 2015 John Wiley & Sons, Ltd.

关键词： Buses

来源：评论

学校读者我要写书评

暂无评论

Survey of community structure segmentation in complex networks

Journal of Software

引用

Journal of Software 2014年第1期9卷 89-93页

作者： Pei, Tingrui Zhang, Hongzhi Li, Zhetao Choi, Youngjune College of Information Engineering Xiangtan University Xiangtan China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan China Department of Information and Computer Engineering Ajou University Suwon Korea Republic of

Community structure analysis is a hot research spot in social networks and complex networks. In order to summarize recent research progress, this paper reviews the background, the motivation, the advantages and disadvantages of existing works related to community structure discovering. A comprehensive outline was obtained by analysis of different clustering algorithms. © 2014 ACADEMY PUBLISHER.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Verification for commitment-based web service protocols

引用

International Journal of Wireless and Mobile computing 2014年第3期7卷 217-223页

作者： Fang, Zhi Liao, Lejian Chen, Ruoyu Beijing Eng. Res. Ctr. of High Vol. Language Information Processing and Cloud Computing Applications Beijing Laboratory of Intelligent Information Technology School of Computer Science Beijing 100081 China

We propose a model for a class of web services which are powered by relational databases and annotated by social commitment. Our model can be viewed as an extension of WSDL specification where schemas of service operations specify not only input-output signatures but also data constraints, control-flow constraints, state/output/effect rules. The dataaware temporal properties about interactions between services and users are specified in Linear Temporal First-Order Logic with Social Commitment (LTL-FOSC). We have proved it is possible to use existing tools (e.g. WAVE) originally designed for verification of web applications to verify such properties. Copyright © 2014 Inderscience Enterprises Ltd.

关键词： Web services

来源：评论

学校读者我要写书评

暂无评论

An Environment Visual Awareness Approach in cognitive Model ABGP

An Environment Visual Awareness Approach in Cognitive Model ...

引用

International Conference on Tools with Artificial Intelligence

作者： Gang Ma Xi Yang Bo Zhang Baoyuan Qi Zhongzhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781509001644

ABGP is a special cognitive model, which consists of awareness, beliefs, goals and plans. As most agent architectures, ABGP agents obtain knowledge from the natural scenes only through single preestablished rules as well, don't directly capture the natural scenes information like human visual. Inspired by the biological visual cortex (V1) and the higher brain areas perceiving visual features, we propose a novel deep network model convolutional generative stochastic model (CGSM) used to visual feature representation, and firstly introduce it into the awareness module of the cognitive model ABGP to construct a state-of-the-art cognitive model ABGP-CGSM. For the novel cognitive model ABGP-CGSM, we construct a rat-robot maze search simulation platform to show the validity recognizing natural scenes. According to the simulation results on the noise and noiseless natural scenes, the rat-robot implemented by ABGP-CGSM has an excellent success rate when passing through the maze. The simulation shows that the ABGP-CGSM model proposed in our work can directly enhance the capability of communication between agent and natural scenes, improve the ability to cognize the real world as human being and conduct the agent to plan independently its path in terms of the visual information from the natural scenes.

关键词： ABGP V1 CGSM ABGP-CGSM Awareness Visual pathway

来源：评论

学校读者我要写书评

暂无评论

Hybrid color image steganography method used for copyright protection and content authentication

引用

Journal of information Hiding and Multimedia Signal processing 2015年第4期6卷 686-696页

作者： Lyu, Wan-Li Chang, Chin-Chen Chou, Yeh-Chieh Lin, Chia-Chen Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China Department of Information Engineering and Computer Science Feng Chia University 100 Wenhwa Rd Seatwen Taichung40724 Taiwan Department of Computer Science and Information Management Providence University Taichung43301 Taiwan

In this paper, we proposed a hybrid image data hiding method used for watermarking applications in order to make sure the hidden dual watermarks survive after the image manipulation and enhancement processes. To achieve this goal, the proposed method is divided into two phases. In the first phase, the YCbCr color space is exploited, and, then, LSB techniques are used to embed the first level watermark bits in the YCbCr channel. In the second phase, the modification direction method is used to embed the second level watermark bits in the RGB channel. The experimental results confirmed that the proposed method resists most geometric attacks more effectively than Lusson et al.'s method. Therefore, the method is suitable for protecting the ownership of images and integrity of the potential tampered images. © 2015 ISSN.

关键词： Steganography

来源：评论

学校读者我要写书评

暂无评论

Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition

Shape driven kernel adaptation in Convolutional Neural Netwo...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Shaoxin Li Junliang Xing Zhiheng Niu Shiguang Shan Shuicheng Yan Department of Electrical and Computer Engineering National University of Singapore Singapore Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China

ISBN: (纸本)9781467369657

One key challenge of facial trait recognition is the large non-rigid appearance variations due to some irrelevant real world factors, such as viewpoint and expression changes. In this paper, we explore how the shape information, i.e. facial landmark positions, can be explicitly deployed into the popular Convolutional Neural Network (CNN) architecture to disentangle such irrelevant non-rigid appearance variations. First, instead of using fixed kernels, we propose a kernel adaptation method to dynamically determine the convolutional kernels according to the spatial distribution of facial landmarks, which helps learning more robust features. Second, motivated by the intuition that different local facial regions may demand different adaptation functions, we further propose a tree-structured convolutional architecture to hierarchically fuse multiple local adaptive CNN subnetworks. Comprehensive experiments on WebFace, Morph II and MultiPIE databases well validate the effectiveness of the proposed kernel adaptation method and tree-structured convolutional architecture for facial trait recognition tasks, including identity, age and gender recognition. For all the tasks, the proposed architecture consistently achieves the state-of-the-art performances.

关键词： Kernel Shape Face Face recognition Robustness Neural networks Computer architecture

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：