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

406 篇 会议
121 篇 期刊文献
10 册 图书
3 篇 学位论文

馆藏范围

540 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

365 篇 工学
- 206 篇 计算机科学与技术...
- 202 篇 电气工程
- 107 篇 软件工程
- 51 篇 光学工程
- 48 篇 信息与通信工程
- 22 篇 电子科学与技术（可...
- 22 篇 控制科学与工程
- 20 篇 生物医学工程（可授...
- 12 篇 仪器科学与技术
- 11 篇 生物工程
- 10 篇 机械工程
- 6 篇 化学工程与技术
- 5 篇 材料科学与工程（可...
- 5 篇 测绘科学与技术
- 3 篇 动力工程及工程热...
- 3 篇 航空宇航科学与技...
282 篇 理学
- 223 篇 物理学
- 123 篇 数学
- 24 篇 统计学（可授理学、...
- 13 篇 生物学
- 13 篇 系统科学
- 7 篇 化学
- 6 篇 天文学
- 5 篇 地球物理学
58 篇 医学
- 46 篇 临床医学
- 9 篇 基础医学(可授医学...
- 4 篇 特种医学
- 4 篇 医学技术（可授医学...
19 篇 管理学
- 13 篇 图书情报与档案管...
- 7 篇 管理科学与工程(可...
2 篇 农学
1 篇 教育学
1 篇 艺术学

主题

103 篇 neural networks
85 篇 stochastic proce...
79 篇 image processing
69 篇 signal processin...
38 篇 machine vision
36 篇 deep learning
33 篇 computer vision ...
32 篇 image segmentati...
25 篇 feature extracti...
23 篇 neurons
21 篇 image analysis
20 篇 image reconstruc...
19 篇 image classifica...
19 篇 training
19 篇 convolutional ne...
18 篇 machine learning
14 篇 statistical anal...
13 篇 image coding
13 篇 visual process m...
13 篇 neural network

机构

4 篇 purdue univ.
3 篇 north carolina s...
3 篇 univ oulu ctr ma...
3 篇 massachusetts in...
2 篇 google res mount...
2 篇 carnegie mellon ...
2 篇 univ so calif de...
2 篇 northwestern pol...
2 篇 national chiao t...
2 篇 inst. de pesquis...
2 篇 rensselaer polyt...
2 篇 univ. of nebrask...
2 篇 univ zurich inst...
2 篇 univ. of north c...
2 篇 iowa state univ.
2 篇 nanyang technolo...
2 篇 syracuse univ.
2 篇 school of electr...
2 篇 north carolina s...
2 篇 univ trento tren...

作者

3 篇 bilbro griff l.
3 篇 rigoll g
3 篇 mcdonnell jr
3 篇 preteux f
3 篇 waagen de
2 篇 wolff daniel
2 篇 jentzen arnulf
2 篇 oweiss kg
2 篇 zhu qiuming
2 篇 yazici birsen
2 篇 wang sheng
2 篇 fei manman
2 篇 payne matt g.
2 篇 liu y
2 篇 sher david b.
2 篇 jen-tzung chien
2 篇 chen dongdong
2 篇 liu jun
2 篇 mesinger andrei
2 篇 waagen don e.

语言

514 篇 英文
20 篇 其他
6 篇 中文

检索条件"任意字段=Neural and Stochastic Methods in Image and Signal Processing II"

共 540 条记录，以下是331-340 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：

Revisiting Boltzmann learning: parameter estimation in Markov random fields

Revisiting Boltzmann learning: parameter estimation in Marko...

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： L.K. Hansen L.N. Andersen U. Kjems J. Larsen Electron. Inst. Tech. Univ. Lyngby Denmark CONNECT Electronics Institute Technical University of Denmark Lyngby Denmark Danmarks Tekniske Universitet Lyngby DK

This article presents a generalization of the Boltzmann machine that allows us to use the learning rule for a much wider class of maximum likelihood and maximum a posteriori problems, including both supervised and unsupervised learning. Furthermore, the approach allows us to discuss regularization and generalization in the context of Boltzmann machines. We provide an illustrative example concerning parameter estimation in an inhomogeneous Markov field. The regularized adaptation produces a parameter set that closely resembles the "teacher" parameters, hence, will produce segmentations that closely reproduce those of the inhomogeneous teacher network.

关键词： Parameter estimation Markov random fields Machine learning image segmentation neural networks Maximum likelihood estimation Unsupervised learning stochastic processes Cost function Minimization methods

来源：评论

学校读者我要写书评

暂无评论

On globally asymptotically stable continuous-time CNNs for adaptive smoothing of multidimensional signals

On globally asymptotically stable continuous-time CNNs for a...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： C. Schnorr H.S. Stiehl R.-R. Grigat FB Informatik Universit#x00E4 t Hamburg Hamburg Germany AB Technische Technische Informatik Technical University Hamburg-Harburg Hamburg Germany

We present a theoretical framework from which an approach to nonlinear, locally-adaptive smoothing of multi-dimensional signals has been derived which exhibits properties favourable to any application: unique solution, data adaption, presentation of signal structure, continuous dependency of the result on both the input signal and few parameters, and effective control of parameters. We also show that i) the FEM discretisation nicely inherits the properties of the continuous notation, and that ii) the discretised version represents a globally asymptotically stable network. We then explicate the embedding of our approach in the continuous-time CNN paradigm of Roska and Chua (1992) and provide results from our simulations. Lastly we report on ongoing work towards CNN circuit design such as to render possible real-time processing in the future-a desideratum in computer vision system design.

关键词： Cellular neural networks Smoothing methods Multidimensional systems Computer vision Circuit synthesis Real time systems image segmentation Rendering (computer graphics) Noise reduction Costs

来源：评论

学校读者我要写书评

暂无评论

neural, Morphological, and stochastic methods in image and signal processing

Neural, Morphological, and Stochastic Methods in Image and S...

引用

neural, Morphological, and stochastic methods in image and signal processing 1995

The proceedings contain 30 papers. The topics discussed include: hierarchical markov random field models applied to image analysis: a review;multiresolution Markov random field and multigrid algorithm for a discontinuity-preserving estimation of the optical flow;hierarchical statistical models for the fusion of multiresolution image data;hierarchical method for the detection of moving objects in a sequence of images;characterization of translation-invariant elementary operators for gray-level morphology;computational representation of increasing lattice-valued image operators;tiling and demand-driven evaluation for picture processing;valuation of image extrema using alternating filters by reconstruction;and self-consistent mathematical morphological filter for removing cirrus noise from far-infrared astronomical images.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Mathematical morphology and higher-order neural networks

Mathematical morphology and higher-order neural networks

引用

Conference on neural, Morphological, and stochastic methods in image and signal processing

作者： SKONECZNY, S SZOSTAKOWSKI, J STAJNIAK, A ZYDANOWICZ, W WARSAW UNIV TECHNOL INST CONTROL & IND ELECTRPL-00662 WARSAWPOLAND

ISBN: (纸本)0819419273

Mathematical morphology (MM) is one of the most efficient tools in advanced digital image processing. Morphological techniques have been successfully applied in such cases as: image analysis, smoothing, enhancement, edge detection, skeletonization, filtering, and segmentation (watershed algorithms). Two essential operations of MM are dilation and erosion and can be implemented in several different ways. In our paper we propose their effective implementation by using higher order neural network approach (functional-link network). The novel structure and its learning method is presented. Some other neural network methods for MM operations are shown and compared with our approach.

关键词： MATHEMATICAL MORPHOLOGY HIGH ORDER neural NETWORKS FUNCTIONAL-LINK NETWORK

来源：评论

学校读者我要写书评

暂无评论

Tiling and demand driven evaluation for picture processing

Tiling and demand driven evaluation for picture processing

引用

Conference on neural, Morphological, and stochastic methods in image and signal processing

作者： HORAIN, P DOGARU, V ECOLE NATL SUPER TELECOMMUN BRETAGNE DEPT IMAGESF-75634 PARIS 13FRANCE

ISBN: (纸本)0819419273

We propose a software architecture for picture processing that allows efficient memory management when algorithms with many operators are applied to large images, and that allows automated parallelization. This architecture relies on image tiling and operators with a call back function that evaluates image tiles on demand. Several tiling strategies with and without overlapping are discussed. The compexity of this evaluation strategy is hidden to application programs. This is shown with a sample program. This architecture is well suited for neighborhood operators such as convolutions and mathematical morphology operators.

关键词： DEMAND DRIVEN EVALUATION TILING MEMORY MANAGEMENT PARALLELISM image processing

来源：评论

学校读者我要写书评

暂无评论

A neural network architecture for fault-diagnosis of digital circuits

A neural network architecture for fault-diagnosis of digital...

引用

Conference on neural, Morphological, and stochastic methods in image and signal processing

作者： BARUA, S CALIF STATE UNIV FULLERTON DEPT ELECT ENGNFULLERTONCA 92634

ISBN: (纸本)0819419273

A neural network architecture that is capable of assisting as well as providing valuable information in diagnosing faults in digital circuits is presented here. Once a digital circuit has been constructed, it is required to test the circuit in order to find out how well the digital circuit works. The neural network architecture presented here will be useful on a wide variety of circuits, both analog and digital, and efficient for guiding the search and forming fault and test hypotheses in diagnostic troubleshooting of electronic circuits. © 1995 SPIE.

关键词： FAULT DIAGNOSIS DIGITAL CIRCUITS neural NETWORK BACKPROPAGATION

来源：评论

学校读者我要写书评

暂无评论

Convergence of unsupervised image segmentation algorithms

Convergence of unsupervised image segmentation algorithms

引用

Conference on neural, Morphological, and stochastic methods in image and signal processing

作者： WON, CS DONGGUK UNIV DEPT ELECTR ENGNSEOUL 100715SOUTH KOREA

ISBN: (纸本)0819419273

This paper presents a comparative study of three deterministic unsupervised image segmentation algorithms. All of the three algorithms basically make use of a Markov random field (MRF) and try to obtain an approximate solution to the maximum likelihood or the maximum a posteriori estimates. Although the three algorithms are based on the same stochastic image models, they adopt different ways to incorporate model parameter estimation into the iterative region label updating procedure. The differences among the three algorithms are identified and the convergence properties are compared both analytically and experimentally.

关键词： UNSUPERVISED image SEGMENTATION MARKOV RANDOM FIELDS GRIBBS RANDOM FIELDS MAXIMUM LIKELIHOOD ESTIMATION MAXIMUM A POSTERIORI ESTIMATION ITERATED CONDITIONAL MODES EXPECTATION AND MAXIMIZATION

来源：评论

学校读者我要写书评

暂无评论

Computational representation of increasing lattice-valued image operators

Computational representation of increasing lattice-valued im...

引用

Conference on neural, Morphological, and stochastic methods in image and signal processing

作者： SINHA, D DOUGHERTY, ER CUNY COLL STATEN ISL NEW YORKNY

ISBN: (纸本)0819419273

Computational mathematical morphology provides zeta-function-based representation for windowed, translation-invariant image operators taking their values in a complete lattice. image operators are induced via windowing by product lattice operators and, in both the increasing and nonincreasing cases, these reduce to classical logical representation for binary operators. The present paper presents the image-operator theory for increasing filters. In particular, it treats gray-to-binary and gray-to-gray morphological operators, as well as representation of lattice-valued stack filters via threshold decomposition.

关键词： Binary data Digital filtering Electroluminescence Mathematical morphology Fermium Frequency modulation image filtering Logic Computer architecture image processing

来源：评论

学校读者我要写书评

暂无评论

neural networks with cellular atrophy for geometric data baseclassifications

Neural networks with cellular atrophy for geometric data bas...

引用

Conference on neural, Morphological, and stochastic methods in image and signal processing

作者： ALI, DL UNIV SO MISSISSIPPI DEPT COMP SCIHATTIESBURGMS 39406

ISBN: (纸本)0819419273

In this paper we examine the use of geometric modeling in grouping and classification. A neural network approach is suggested to combine the completeness of information provided by a geometric modeler with the uncertainty required in the grouping process. The utilization of highly connectionist systems in such an environment is investigated. The advantages and shortcomings of these systems are discussed. The impact of cellular atrophy, as observed in biological systems, on highly connectionist systems is proposed. The effect of atrophy criterion on systems' size and efficiency is examined.

关键词： neural NETWORKS CELLULAR ATROPHY GEOMETRIC MODELING GROUP TECHNOLOGY PROCESS PLANNING

来源：评论

学校读者我要写书评

暂无评论

HIERARCHICAL MARKOV RANDOM-FIELD MODELS APPLIED TO image-ANALYSIS - A REVIEW

HIERARCHICAL MARKOV RANDOM-FIELD MODELS APPLIED TO IMAGE-ANA...

引用

Conference on neural, Morphological, and stochastic methods in image and signal processing

作者： GRAFFIGNE, C HEITZ, F PEREZ, P PRETEUX, F SIGELLE, M ZERUBIA, J UNIV PARIS 05 F-75270 PARIS 06 FRANCE

ISBN: (纸本)0819419273

The need for hierarchical statistical tools for modeling and processing image data, as well as the success of Markov random fields (MRFs) in image processing, have recently given rise to a significant research activity on hierarchical MRFs and their application to image analysis problems. Important contributions, relying on different models and optimization procedures, have thus been recorded in the literature. This paper presents a synthetic overview of available models and algorithms, as well as an attempt to clarify the vocabulary in this field. We propose to classify hierarchical MRF-based approaches as explicit and implicit methods, with appropriate subclasses. Each of these major classes is defined in the paper, and several specific examples of each class of approach are described.

关键词： STATISTICAL image MODELS HIERARCHICAL MODELS MARKOV RANDOM FIELDS MULTIGRID-, MULTISCALE-, MULTIRESOLUTION-, PYRAMIDAL-, MODELS AND ALGORITHMS

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54页 << < 30 31 32 33 34 35 36 37 38 39 > >>

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：