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International Conference on Recent Innovations in Signal processing and Embedded systems (RISE)

作者： Trapti Sharma Laxmi Kumre Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509047611

This work presents the contemplate review of diverse approaches employed to design XOR/XNOR circuits, as these circuits are the nucleus circuit for numerous computational intensive arithmetic circuits in VLSI. This paper describes the comparative analysis of performance evaluation of various reported XOR and XNOR circuits designs. The different designs are compared by performing the transistor level simulations on the benchmark circuit using HSPICE on 90nm PTM CMOS technology and analyzing the results in comprehensive manner. Based on the intensive simulations, the XOR/XNOR designs with feedback transistors outperforms well in comparison to other previously existing circuits in terms of high speed, low power and output voltage without any logic degradation with high noise tolerance capability.

关键词： Transistors Logic gates Adders Degradation Feedback loop Delays Integrated circuit modeling

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Block and parallel modelling of broad domain nonlinear continuous mapping based on NN

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Journal of systems Engineering and Electronics 2006年第3期17卷 586-592页

作者： Yang Guowei Tu Xuyan Wang Shoujue Inst. of Pattern Recognition and Intelligent System Qingdao Univ. Qingdao 266071 P. R. China Laboratory of Artificial Neural Network Inst. of Semiconduetors Chinese Academy of Sciences Beijing 100083 P. R. China Inst. of Computer and System Science Univ. of Science and Technology Beijing Beijing 100083 P. R. China

The necessity of the use of the block and parallel modeling of the nonlinear continuous mappings with NN is firstly expounded quantitatively. Then, a practical approach for the block and parallel modeling of the nonlinear continuous mappings with NN is proposed. Finally, an example indicating that the method raised in this paper can be realized by suitable existed software is given. The results of the experiment of the model discussed on the 3-D Mexican straw hat indicate that the block and parallel modeling based on NN is more precise and faster in computation than the direct ones and it is obviously a concrete example and the development of the large-scale general model established by Tu Xuyan.

关键词： model nonlinear continuous mapping neural network parallel modelling.

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Image fusion algorithm using nonsubsampled contourlet transform

Image fusion algorithm using nonsubsampled contourlet transf...

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MIPPR 2007: Multispectral Image Processing

作者： Yang, Xiao Zhiguo, Cao Kai, Wang Zhengxiang, Xu Institute of Pattern Recognition and Artificial Intelligence State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong Uni. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819469519

In this paper, a pixel-level image fusion algorithm based on Nonsubsampled Contourlet Transform (NSCT) has been proposed. Compared with Contourlet Transform, NSCT is redundant, shift-invariant and more suitable for image fusion. Each image from different sensors could be decomposed into a low frequency image and a series of high frequency images of different directions by multi-sacle NSCT. For low and high frequency images, they are fused based on local-contrast enhancement and definition respectively. Finally, fused image is reconstructed from low and high frequency fused images. Experiment demonstrates that NSCT could preserve edge significantly and the fusion rule based on region segmentation performances well in local-contrast enhancement.

关键词： Image fusion

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IU-Module: Intersection and Union Module for Fine-Grained Visual Classification

IU-Module: Intersection and Union Module for Fine-Grained Vi...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Yixiao Zheng Dongliang Chang Jiyang Xie Zhanyu Ma Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications

ISBN: (数字)9781728113319

ISBN: (纸本)9781728113326

A predominant viewpoint in previous works of fine-grained visual classification (FGVC) is to the localize discriminative parts by auxiliary networks and extract the part-based finegrained features for classification. In this paper, we propose a simple yet effective approach by introducing an intersection and union module (IU-Module). The IU-Module aims to capture more discriminative features by 1) dividing features into distinct groups, 2) sharing parts of interests within each group, and 3) adding a differentiation loss to reduce the similarity among those grouped feature channels. Without adding any new learnable parameters, the proposed approach imposes two straightforward operations, namely channel intersection (CI) and channel union (CU) operations, on the convolutional features and achieves competitive results compared with the state-of-the-art methods. Experimental results on three publicly available FGVC datasets show the effectiveness of the IU-Module. Ablation studies and visualizations are also provided to make further demonstrations.

关键词： Feature extraction Visualization Task analysis Automobiles Semantics Toy manufacturing industry Atmospheric modeling

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Building layover detection in SAR images via image translation 2

Building layover detection in SAR images via image translati...

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2nd International Conference on Signal Image Processing and Communication, ICSIPC 2022

作者： Wang, Haixia Yuan, Shuo Wang, Dongji Dong, Qiulei Hu, Zhanyi Key Laboratory for Robot and Intelligent Technology Shandong University of Science and Technology Shandong Province Qingdao City China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Haidian District Beijing China

ISBN: (纸本)9781510657694

Conventionally image translation is used to convert synthetic aperture radar (SAR) images to optical ones to increase interpretability. Due to the different imaging natures of SAR range sensing and optical directional projection, it is within the expectation that some kinds of SAR images could be reasonably translated into optical ones, while others not. Arguably, less good patches in the translated image could act as a potential indicator of salient differences of the two imaging mechanisms. Following this line of thought, considering in urban SAR images, the layover is mainly caused by buildings, we proposed a method to detect building layovers in SAR images by evaluating the correlation of the original SAR image and the translated one by the cycle-translation, that is, from SAR to optical to SAR translation. Because the presence of building is the main factor of the layover phenomenon in urban SAR images, building layover areas in SAR images are expected to be less correlated, or they should have a low correlation coefficient. Preliminary experiments validate our underlying principle and method. © 2022 SPIE.

关键词： Synthetic aperture radar

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Segmentation-based Euler number with multi-levels for image feature description

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Procedia Computer Science 2017年 111卷 245-251页

作者： Qian Zhang Lin Wang Jiang-Hao Yu Minggui Zhang Academic Affairs Office Guizhou Minzu University GuiYang 550025 China Pattern Recognition & Intelligent System Key Laboratory of Gui Zhou Province GuiYang 550025 China

This paper proposes a new and efficient image feature descriptor using Euler Number with the help of segmentation according to given number of levelsest. The proposed Segmentation-based Euler Number for image description algorithm (SENA) works as the following steps. First, transforming the image into gray image if the image is color image; then, dividing the gray image into different sets using the given number of levelsets; next, decomposing the gray image into binary images with multi-thresh using the otsu algorithm; following, computing the Euler Number of each binary image; finally, combining the Euler Numbers, mean and variance to form the feature vector for an input image. The proposed SENA was employed to the image classification on three public available dataset (Stanford Dogs Dataset, 17 flower dataset, and Caltech 256 dataset). We compute SENA with LBP and Gabor on the Stanford Dogs Dataset, the detail classification results on 17 flower dataset is given as confusion matrix, and the result of SENA on the Caltech 256 dataset is compared with those of the recently reported. The experiments demonstrate a competitive performance of SENA for classification task.

关键词： Number image feature image segmentation image classification LevelSet

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A SESSION-ORIENTED RETRIEVAL MODEL BASED ON MARKOV RANDOM FIELD

A SESSION-ORIENTED RETRIEVAL MODEL BASED ON MARKOV RANDOM FI...

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The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Yasi Gao Chuang Zhang Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

In this paper,we study how to use the search session information to improve the retrieval *** propose a session-oriented retrieval model based on Markov random *** model introduces the correlations between query terms as a retrieval factor into the retrieval *** also presents a dynamic update algorithm based on the analysis of users' search *** model implements a complete session-oriented information retrieval framework *** use ClueWeb09 category B dataset and TREC 2010 (2011) Session dataset to quantitatively evaluate the *** results show that our model can improve retrieval performance substantially using the search session information.

关键词： Information retrieval Implicit feedback Search session Markov random field Term dependence

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A NOVEL INTERACTIVE IMAGE RETRIEVAL METHOD BASED ON LSH AND SVM

A NOVEL INTERACTIVE IMAGE RETRIEVAL METHOD BASED ON LSH AND ...

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The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Tingting Dong Zhicheng Zhao Multimedia Communication and Pattern Recognition Labs Multimedia Communication and Pattern Recognition Labs Beijing Key Laboratory of Network System and N

Content-based image retrieval (CBIR) has attracted people's attention for many years,while the semantic gap and curse of dimensionality are still two open questions of *** this paper,we propose a new interactive image retrieval method based on locality-sensitive hashing (LSH) and support vector machine (SVM):LSH is adopted to overcome the curse of dimensionality and a SVM-based relevance feedback (RF) scheme is introduced to shorten the semantic *** experimental results show the effectiveness of the proposed method.

关键词： Image retrieval LSH Relevance feedback SVM

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Semi-supervised Learning for Automatic Audio Events Annotation Using TSVM

Semi-supervised Learning for Automatic Audio Events Annotati...

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The 2010 International Conference on Computer Application and system Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Rongyan Wang Gang Liu Jun Guo Zhenxin Ma Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781424472352

Most previous approaches to automatic audio events (Aes) annotation are based on supervised learning which relies on the availability of a labeled corpus to train classification models. However, instance annotation is often difficult, expensive, and time consuming. In this paper, we apply semi-supervised learning with transductive Support Vector Machine (TSVM) algorithm to automatic Aes annotation. Besides, considering about the presence of outliers which degrade the generalization and the classification performance, we propose a confidence-based method for samples selection. In our experiments based on the melodrama Friends corpus, the proposed method can effectively use unlabeled data to improve the classification performance with only a small amount of the labeled data.

关键词： audio events (Aes) TSVM semi-supervised learning sample selection

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An Evolutionary Real-Time 3D Route Planner for Aircraft

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Journal of systems Engineering and Electronics 2003年第1期14卷 47-53页

作者：郑昌文丁明跃周成平 Institute of Pattern Recognition and Artificial Intelligence State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 P. R. China

A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candidates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By using problem-specific chromosome structure and genetic operators, the routes are generated in real time, with different mission constraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving angle and route distance constraint taken into account.

关键词： Evolutionary computation Route planning Route constraints Real time Aircraft.

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