检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,840 篇 会议
110 篇 期刊文献
75 册 图书

馆藏范围

3,025 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,357 篇 工学
- 1,080 篇 计算机科学与技术...
- 810 篇 软件工程
- 265 篇 电气工程
- 134 篇 光学工程
- 134 篇 电子科学与技术（可...
- 93 篇 控制科学与工程
- 92 篇 机械工程
- 88 篇 信息与通信工程
- 62 篇 生物医学工程（可授...
- 45 篇 仪器科学与技术
- 32 篇 生物工程
- 23 篇 材料科学与工程（可...
- 18 篇 建筑学
- 14 篇 土木工程
- 14 篇 航空宇航科学与技...
- 13 篇 交通运输工程
451 篇 医学
- 438 篇 临床医学
- 44 篇 特种医学
- 25 篇 基础医学(可授医学...
- 19 篇 药学(可授医学、理...
364 篇 理学
- 191 篇 数学
- 174 篇 物理学
- 39 篇 生物学
- 24 篇 系统科学
- 22 篇 统计学（可授理学、...
- 19 篇 化学
- 12 篇 地球物理学
65 篇 管理学
- 35 篇 图书情报与档案管...
- 31 篇 管理科学与工程(可...
20 篇 农学
- 13 篇 作物学
11 篇 教育学
7 篇 法学
4 篇 经济学
3 篇 艺术学
2 篇 文学
2 篇 历史学
2 篇 军事学

主题

416 篇 computer graphic...
372 篇 image segmentati...
365 篇 rendering (compu...
359 篇 image processing
242 篇 image reconstruc...
225 篇 graphics process...
196 篇 feature extracti...
184 篇 image color anal...
176 篇 cameras
172 篇 visualization
166 篇 graphics process...
166 篇 shape
165 篇 computer vision
164 篇 computer archite...
157 篇 image analysis
147 篇 layout
141 篇 graphics
139 篇 pixel
127 篇 hardware
125 篇 training

机构

17 篇 lawrence berkele...
17 篇 nasa ames resear...
17 篇 desert research ...
16 篇 universidade de ...
15 篇 universidade fed...
12 篇 univ estadual ca...
10 篇 institute of com...
9 篇 univ fed minas g...
9 篇 department of co...
9 篇 univ fed rio gra...
8 篇 instituto de inf...
8 篇 univ sao paulo i...
7 篇 impa rio de jane...
7 篇 institute of com...
7 篇 department of co...
6 篇 departamento de ...
6 篇 universidade est...
5 篇 department of co...
5 篇 inst for image p...
5 篇 univ sao paulo i...

作者

25 篇 l. velho
18 篇 velho luiz
17 篇 bahram parvin
17 篇 luiz velho
17 篇 darko koracin
17 篇 wu shin-ting
17 篇 george bebis
17 篇 richard boyle
14 篇 falcao alexandre...
13 篇 waldemar celes
12 篇 r. de alencar lo...
12 篇 william robson s...
12 篇 thomas lewiner
11 篇 aldo von wangenh...
11 篇 menotti david
11 篇 velho l
11 篇 n.d.a. mascarenh...
11 篇 luis gustavo non...
11 篇 silvio jamil f. ...
11 篇 von wangenheim a...

语言

2,988 篇 英文
19 篇 其他
13 篇 葡萄牙文
3 篇 中文
1 篇 西班牙文
1 篇 土耳其文

检索条件"任意字段=Brazilian Symposium on Computer Graphics and Image Processing"

共 3025 条记录，以下是921-930 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Learning to Annotate Clothes in Everyday Photos: Multi-modal, Multi-label, Multi-instance Approach

Learning to Annotate Clothes in Everyday Photos: Multi-modal...

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Adriano Alonso Veloso Jefersson A. Dos Santos Keiller Nogueira Universidade Federal de Minas Gerais Belo Horizonte Brazil Universidade Federal de Minas Gerais Belo Horizonte MG BR

ISBN: (纸本)9781479942572

In this paper, we present an effective algorithm to automatically annotate clothes in everyday photos posted in online social networks, such as Facebook and Instagram. Specifically, clothing annotation can be informally stated as predicting, as accurately as possible, the garment items appearing in the target photo. This task not only poses interesting challenges for existing vision and recognition algorithms, but also brings huge opportunities for recommender and e-commerce systems. We formulate the annotation task as a multi-modal, multi-label and multi-instance classification problem: (i) both image and textual content (i.e., comments about the image) are available for learning classifiers, (ii) the classifiers must predict a set of labels (i.e., a set of garment items), and (iii) the decision on which labels to predict comes from a bag of instances that are used to build a function, which separates labels that should be predicted from those that should not be. Under this setting, we propose a classification algorithm which employs association rules in order to build a prediction model that combines image and textual information, and adopts an entropy-minimization strategy in order to the find the best set of labels to predict. We conducted a systematic evaluation of the proposed algorithm using everyday photos collected from two major fashion-related social networks, namely *** and ***. Our results show that the proposed algorithm provides improvements when compared to popular first choice multi-label algorithms that range from 2% to 40% in terms of accuracy.

关键词： Clothing Prediction algorithms Entropy Visualization image color analysis Social network services Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Fast Generalized Fourier Descriptor for object recognition of image using CUDA

Fast Generalized Fourier Descriptor for object recognition o...

引用

World symposium on computer Applications & Research

作者： Bahri Haythem Hallek Mohamed Chouchene Marwa Sayadi Fatma Atri Mohamed Faculty of Sciences Laboratory of EµE Monastir TUNISIA

In recent later years, we can notice a tremendous increase in computer vision research of the recognition forms domain, such as color object recognition. In this framework, we chose the Fourier Descriptor as a method to compute the feature vector of color image. We took as a tool of recognition and classification the Generalized Fourier Descriptor given by F. Smach and al. [1]. The heaviest part of computing time of Fourier Descriptor is the Fast Fourier Transform. In order to accelerate the compute of Fourier Descriptor vector, we proposed a GPU technology of computing. In fact, the aim of this paper is to bring out the computing rapidity of 2D FFT on GPU for each size of image. This approach returns to accelerate the computation of Fourier Descriptor vector under GPU. To showcase this performance, we compared this study with another traditional implement of FFT and Fourier Descriptor on CPU.

关键词： Software measurement image recognition Laboratories Acceleration graphics processing units Programming

来源：评论

学校读者我要写书评

暂无评论

A Non-intrusive Approach for 2D Platform Game Design Analysis Based on Provenance Data Extracted from Game Streaming

A Non-intrusive Approach for 2D Platform Game Design Analysi...

引用

brazilian symposium on Games and Digital Entertainment (SBGAMES)

作者： Lidson Barbosa Jacob Troy C. Kohwalter Alex F. V. Machado Esteban W. G. Clua Daniel De Oliveira Instituto de Computação Universidade Federal Fluminense (UFF) Niterói RJ Brazil Inst. de Comput. Universidade Federal Fluminense Niteroi Rio de Janeiro BR

The usage of provenance data drastically increases the potential for game data mining since it is able to record causes, effects and relationships of events and objects during a game session. However, it commonly requires modifications in the game engine in order to collect such provenance data. The modifications in the game engine may be unviable in commercial (and not open source) systems. In this paper, we propose a novel and non-intrusive approach for collecting provenance data in digital games. Our proposal collects provenance data using image processing mechanisms and pre-defined image patterns, thus avoiding accessing and modifying the source code of the game. Using our approach, we are able to generate, analyze and visualize game design features based on the gameplay flow using provenance data. Furthermore, we evaluated our proposal with a well known commercial 2D game, called "Super Mario World".

关键词： Games Histograms Data mining Context Engines image color analysis

来源：评论

学校读者我要写书评

暂无评论

Parallelizing Broad Phase Collision Detection for Animation in Games: A Performance Comparison of CPU and GPU Algorithms

Parallelizing Broad Phase Collision Detection for Animation ...

引用

brazilian symposium on Games and Digital Entertainment (SBGAMES)

作者： Ygor R. Serpa Maria Andreia F. Rodrigues Universidade de Fortaleza (UNIFOR) Centro de Ciências Tecnológicas Fortaleza CE Brazil Universidade de Fortaleza (UNIFOR) Programa de Pós-Graduação em Informática Aplicada Fortaleza CE Brazil

Games, computer animations and three-dimensional interactive simulations have required the use of realistic and faster than ever before broad phase collision detection algorithms. In this work, we compare the performance of four broad phase algorithms implemented on CPU and GPU, using four different test scenarios. More specifically, one of them is a new GPU-based algorithm that we have developed in the Bullet library using CUDA, and the other three remaining implementations are CPU-based algorithms available in the same library. The experimental results show that the heterogeneous algorithm is competitive when compared to some robust methods available in Bullet, particularly in scenes with a large number of objects whose movements are complex and unpredictable. We believe that initiatives like this, which explore solutions for new implementations of collision algorithms running on GPU and operating asynchronously with the CPU, are extremely important and useful for game designers, especially in the area of digital games based on Physics, considering there are other elements of the animation, e.g., sound and artificial intelligence, which can thus be executed during the broad phase calculation.

关键词： graphics processing units Collision avoidance Instruction sets Algorithm design and analysis Libraries Games Physics

来源：评论

学校读者我要写书评

暂无评论

Efficient Execution of Microscopy image Analysis on CPU, GPU, and MIC Equipped Cluster Systems

Efficient Execution of Microscopy Image Analysis on CPU, GPU...

引用

International symposium on computer Architecture and High Performance Computing (SBAC-PAD)

作者： G. Andrade R. Ferreira George Teodoro Leonardo Rocha Joel H. Saltz Tahsin Kurc Federal University of Minas Gerais University of Brasília Federal University of São João del Rei Stony Brook University

High performance computing is experiencing a major paradigm shift with the introduction of accelerators, such as graphics processing units (GPUs) and Intel Xeon Phi (MIC). These processors have made available a tremendous computing power at low cost, and are transforming machines into hybrid systems equipped with CPUs and accelerators. Although these systems can deliver a very high peak performance, making full use of its resources in real-world applications is a complex problem. Most current applications deployed to these machines are still being executed in a single processor, leaving other devices underutilized. In this paper we explore a scenario in which applications are composed of hierarchical dataflow tasks which are allocated to nodes of a distributed memory machine in coarse-grain, but each of them may be composed of several finer-grain tasks which can be allocated to different devices within the node. We propose and implement novel performance aware scheduling techniques that can be used to allocate tasks to devices. We evaluate our techniques using a pathology image analysis application used to investigate brain cancer morphology, and our experimental evaluation shows that the proposed scheduling strategies significantly outperforms other efficient scheduling techniques, such as Heterogeneous Earliest Finish Time - HEFT, in cooperative executions using CPUs, GPUs, and Masc. also experimentally show that our strategies are less sensitive to inaccuracy in the scheduling input data and that the performance gains are maintained as the application scales.

关键词： Microwave integrated circuits graphics processing units Performance evaluation Processor scheduling Central processing Unit image analysis

来源：评论

学校读者我要写书评

暂无评论

Adaptive Raytracing Implementation Using Partial Dynamic Reconfiguration

Adaptive Raytracing Implementation Using Partial Dynamic Rec...

引用

IEEE International symposium on Parallel and Distributed processing Workshops and Phd Forum (IPDPSW)

作者： Gianluca Durelli Fabrizio Spada Riccardo Cattaneo Christian Pilato Danilo Pau Marco D. Santambrogio Politecnico di Milano Informazione e Bioingegneria Milano Italy Department of Computer Science Columbia University New York NY USA ST Microelectronics Milano Italy

ISBN: (纸本)9781479941155

The continuous strive for improvements in visual realism is progressively increasing the complexity of algorithms for simulating light physics to produce very realistic scenes. As a result, they are becoming more and more suitable for hardware acceleration, even if they introduce new challenges due to the high requirements in terms of resources. In this paper we propose a hardware implementation of the raytracing algorithm, which is a method for rendering 3D scenes. We exploit partial dynamic reconfiguration to adapt the hardware to the specific part of the image under analysis. This allows us to obtain up to 30% better performance with respect to the software baseline implementation on the AVNET ZedBoard platform.

关键词： Hardware computer architecture Algorithm design and analysis Program processors Rendering (computer graphics) Three-dimensional displays

来源：评论

学校读者我要写书评

暂无评论

Video processing on GPU: Analysis of Data Transfer Overhead

Video Processing on GPU: Analysis of Data Transfer Overhead

引用

International symposium on computer Architecture and High Performance Computing Workshops (SBAC-PADW)

作者： Renan Prata Cristiana Bentes Ricardo Farias Department of System Engineering State University of Rio de Janeiro Rio de Janeiro RJ Brazil COPPEISystems Engineering Federal University of Rio de Janeiro Rio de Janeiro RJ Brazil

In this work, we study one of the major problems in exploring the power of GPUs to accelerate video processing applications: countless frames have to be transferred back and forth between the CPU and GPU. We evaluate four different data transfer approaches currently available on modern GPUs: Standard Allocation, Pinned Memory, Data Stream, and Zero-Copy. Our results show that Data Stream is the most efficient strategy, but requires more programming effort. Zero-Copy, on the other hand, demonstrates inferior performance due to the significant latency incurred by the PCIe bus transfers for every memory access.

关键词： graphics processing units Streaming media Kernel Standards Decoding Resource management image color analysis

来源：评论

学校读者我要写书评

暂无评论

Analysis on parallelism between CPU and GPGPU processing on cluster computing

Analysis on parallelism between CPU and GPGPU processing on ...

引用

International Conference on computer Applications and Industrial Electronics (ICCAIE)

作者： Mohd Noor Ikhwan Abdul Rahim Lucyantie Mazalan Syed Farid Syed Adnan Faculty of Electrical Engineering Universiti Teknologi MARA Darul Ehsan Selangor Malaysia

computer cluster is a collection of multiple computers connected together so that it can be viewed and perform as a single computer using an interconnected device. Graphical processing Unit is a specialized hardware used to accelerate the creation of an image by manipulating and altering the memory to help CPU to produce an image. Previously, only CPU is used to perform the task execution in a cluster, however since the advancement of technology in cluster computing, GPU's can now be used as alternative processor to perform execution of a task or job. Due to its relatively cheap in Flops/price ratio, GPGPU cluster system has gained a lot of popularity, however, the real world performance for both CPU cluster system and GPGPU cluster system has not been widely tested. In this paper, the performance between CPU cluster system and GPGPU cluster system simulating proteins using GROMACS 4.6.5 will be measured and analyzed, and how the parallelism between the two will be evaluate by comparing two set of tasks. The cluster's protein folding performance is measured in ns/day, average CPU utilization, average memory usage, and average network bandwidth will be taken into account in this simulation.

关键词： graphics processing units Proteins Computational modeling Central processing Unit Rocks Bandwidth Analytical models

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Inference Methods Applied to the Learning Competence Measure in Dynamic Classifier Selection

Fuzzy Inference Methods Applied to the Learning Competence M...

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Marek Kurzynski Maciej Krysmann Department of Systems and Computer Networks Wroclaw University of Technology Wroclaw Poland

ISBN: (纸本)9781479942572

The concept of classifier competence in the feature space is fundamental to dynamic classifier selection in multiple classifier systems (MCS). Competence function (measure) of base classifier can be determined using validation set in the two step procedure. The first step consists in creating competence set, i.e. the set of classifier competences for all validation objects. To this end a hypothetical classifier called randomized reference classifier (RRC) is constructed. Since RRC - on average - acts like the evaluated classifier, the competence of the classifier at validation point is calculated as the probability of correct classification at this point of the respective RRC. In the second step, the competences calculated for a validation set are generalised to an entire feature space by constructing a competence function based on a supervised learning procedure. In this study, the second step of the above procedure is addressed by developing the fuzzy inference methods of learning competence functions. Two fuzzy inference systems are developed and applied to the supervised learning competence function of base classifiers in a MCS system with dynamic classifier selection (DCS) and dynamic ensemble selection (DES) scheme: Mamdani fuzzy inference system and Sugeno fuzzy inference system. Both fuzzy inference systems were experimentally tested and compared against 4 literature methods of learning classifier competence (potential function, regression model, multilayer perceptron, k-nearest neighbor scheme) using 9 databases taken from the UCI Machine Learning Repository. The experimental results clearly show the effectiveness of the proposed supervised learning competence function using fuzzy inference systems regardless of the ensemble type used (homogeneous or heterogeneous).

关键词： Fuzzy logic Vectors Supervised learning Probability Fuzzy sets Pragmatics Testing

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of Medical image Similarity Analysis in a Heterogeneous Architecture

Performance Evaluation of Medical Image Similarity Analysis ...

引用

Annual IEEE symposium on computer-Based Medical Systems

作者： José Raniery Ferreira Marcelo Costa Oliveira André Lage Freitas Universidade Federal de Alagoas Maceio Alagoas BR Lab of Telemedicine and Medical Informatics at University Hospital (HUPPA) Federal University of Alagoas Maceio Alagoas Brazil

The volume of data has increased fast, particularly medical images, in big hospitals over the last years. This increase imposes a big challenge to medical specialists: the maintenance of high interpretation accuracy of image-based diagnosis. computer-Aided Diagnosis software allied to the Content-Based image Retrieval (CBIR) can provide decision support to specialists by allowing them to find images from a database that are similar to a reference image. However, a well known challenge of CBIR is the processing time that it takes to process all comparisons between the reference image and the image database. This paper proposes a performance evaluation of medical image Similarity Analysis (ISA) in a heterogeneous single-, multi- and many-core architecture using the high performance parallel OpenCL framework. A CBIR algorithm was implemented to validate the proposal. The algorithm used a Lung Cancer image database with 131, 072 Computed Tomography scans, Texture Attributes for image features and Euclidean Distance for image comparison metrics. The results showed that the OpenCL parallelism can increase the performance of ISA, especially using the GPU, with speedups of 3x, 36x and 64x. The results also showed that it is not worth the use of GPU local memory for the Euclidean Distance metrics due to its low performance improvement and high implementation complexity in comparison to the GPU global memory. That being said, GPU is a safer medical CBIR approach than further distributed environments as clusters, cloud and grid computing because GPU usage does not require the patient data to be transfered to other machines.

关键词： graphics processing units Medical diagnostic imaging computer architecture Algorithm design and analysis Kernel Performance evaluation

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共303页 << < 89 90 91 92 93 94 95 96 97 98 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：