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Research on pattern recognition Based on the Universal Electronic Tongue System

Research on Pattern Recognition Based on the Universal Elect...

引用

international conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Jianhui Zhou Lei Wang Jionghua Teng Zhou Tao College of Electronics and Information Engineering TongJi University Shanghai China Tongji University Shanghai Shanghai CN School of Automation Northwestern Polytechnical University Xi'an China

Chemical taste is indispensable information in food testing. the technical of electronic tongue system is one of research directions to identify different chemical tastes. this paper focuses on the pattern recognition method based on learning vector quantization (LVQ) neural network. the electronic tongue system designed could identify all the samples of beer, fruit juice and milk successfully in the experiments. the result shows that LVQ neural network is applicable in the pattern recognition of electronic tongue system and can also be used on condition that information is gathered by multi-sensors array. the pattern recognition methods of the universal electronic tongue are proposed in this paper. the effective universal electronic tongue has much advantage over others such as simple methods of pattern recognition and classification, easy training approaches and wider application fields.

关键词： Tongue pattern recognition Neurons Dairy products Training Artificial neural networks Sensors

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Neural-network based regression model with prior from ranking information

Neural-network based regression model with prior from rankin...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 international Joint conference on Neural Networks, IJCNN 2010

作者： Qu, Yajun Dai, Bo Hu, Baogang National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424469178

In this work, a new algorithm, which can incorporate the ranking information as prior knowledge into the regression model, is presented. Comparing with the method that treats the ranking information as hard constraints, We handle ranking reasonably by maximization of Normalized Discount Cumulative Gain (NDCG) as information retrieval (IR) evaluation measure, which is used to evaluate the performance of ranking model. In addition, an upper bound of one minus NDCG is given by weighted pairwise loss, and a connection between weighted pairwise loss and NDCG is also revealed. In this paper, RBF regression model and the pairwise shifted hinge loss and logistic loss are proposed under the suggested approach. One benefit of the proposed approach is that the weighted pairwise loss is more reasonable than the unweighted loss and all the weights are set based on the NDCG. Finally, one synthetic example shows that the method incorporated the ranking as hard constraints into regression model may cause the deteriorated results, but the good performance is shown by the proposed method. Numerical results from three existing benchmark regression problems further confirm the beneficial aspects on the proposed approach. © 2010 IEEE.

关键词： Regression analysis

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pattern recognition and Tracking Dynamic Objects with LIDAR

Pattern Recognition and Tracking Dynamic Objects with LIDAR

引用

Joint international symposium on robotics

作者： Levente TAMAS Gheorghe LAZEA Robotics Research Group Technical Univeristy of Cluj-Napoca Romania

ISBN: (纸本)9781617387197

this paper presents a method to detect moving persons based on the information from a LIDAR type sensor mounted on a mobile robot. the detection of the objects is performed relative to the estimated robot position. the objects of interests are first described with Gaussian Mixture Model (GMM) and later on searched and classified with a Bayesian classifier. the estimated person positions are tracked via the Extended Kalman filter with two kind of motion models for humans.

关键词： Lidar pattern recognition Object detection Kalman filters Persons Bayesian classifier

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License recognition based on image processing

License recognition based on image processing

引用

international conference on Networked Computing (INC)

作者： Xiaoping Li Lin Zhang Yinxiang Li Xiaoxing Lv Jianqiang Xu Yuhuan Jing Beijing Institute of Technology Beijing China

ISBN: (纸本)9781424469864;9788988678206

With the microprocessor as its core, the license plate automatic recognition system is a highly intelligent electronic system based on technologies such as image processing and pattern recognition. this paper focuses on the preprocessing before license plate recognition after locating the license plate. this paper comprehensively utilizes kinds of image processing, image analyzing and mode recognition technologies, drawing lessons from parts of the previous research achievements in this field and making some improvement. this paper designs and finally realizes the thinning algorithm which combines the advantages of Medial Axis Transform and Peeling Method, and Multi-state Neural Network Algorithm, which greatly increases the recognition efficiency of the system and reaches the goal of putting the system into practical use.

关键词： Licenses Image recognition Image processing pattern recognition Algorithm design and analysis Image segmentation Character recognition Neural networks Image sensors Vehicles

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Verification of video source Camera Competition (CAMCOM 2010)

Verification of video source Camera Competition (CAMCOM 2010...

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20th international conference on pattern recognition, ICPR 2010

作者： Van Houten, Wiger Geradts, Zeno Franke, Katrin Veenman, Cor Netherlands Forensic Institute Laan van Ypenburg 6 2497 GB The Hague Netherlands Gjøvik University PO box 191 Teknologiveien 22 N-2815 Gjøvik Norway

ISBN: (纸本)3642177107

Digital cameras are being integrated in a large number of mobile devices. these devices may be used to record illegal activities, or the recordings themselves may be illegal. Due to the tight integration of these mobile devices with the internet, these recordings may quickly find their way to internet video-sharing sites such as YouTube. In criminal casework it is advantageous to reliably establish the source of the video. Although this was shown to be doable for relatively high quality video, it is unknown how these systems perform for low quality transcoded videos. the CAMCOM2010 contest is organized to create a benchmark for source video identification, where the videos originate from YouTube. Despite the number of participants was satisfactory initially, only two participants submitted results, mostly due to a lack of time. Judging by the performance of the contestants, this is certainly not a trivial problem. © 2010 Springer-Verlag.

关键词： Digital devices

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the edge detection algorithm based on wavelet

The edge detection algorithm based on wavelet

引用

international conference on Networked Computing (INC)

作者： Xiaoping Li Xiaoxing Lv Lin Zhang Yinxiang Li Jianqiang Xu Yan Shi Beijing Institute of Technology BIT Beijing China

Wavelet has important apply in image processing and pattern recognition. In 2008, the wavelet technology was applied to Beijing Olympic traffic guidance transmission successfully, by locating and identifying all kinds of vehicles. this paper carries on research about the construction of binary wavelet from the practical need of signal processing and analysis and provides two types of binary wavelet construction methods: one is symmetrical binary wavelet with zero as centre of symmetry; the other is dissymmetrical binary wavelet with zero as centre of dissymmetry. these results complete the binary wavelet theory and lay a strong foundation for the application of binary wavelet in signal processing and analysis. Meanwhile, this paper also shows the key arithmetic of image denoising with binary wavelet and arithmetic in edge detection.

关键词： Image edge detection Wavelet analysis Signal processing Signal analysis Arithmetic Signal processing algorithms Image processing pattern recognition Navigation Vehicles

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Modulation classification using genetic algorithm and radial basis neural network based on the HOS

Modulation classification using genetic algorithm and radial...

引用

international conference on Digital Content, Multimedia Technology and its Applications (IDC)

作者： Ataollah Ebrahimzadeh Reza Ghazalian Faculty of Electrical and Computer Engineering Babol University of Technology Babol Iran

this paper presents a hybrid intelligent system that automatically recognizes a variety of digital communication signals. the hybrid system includes three main modules: feature extraction module, classifier module and optimization module. In this feature extraction module, a suitable set of the higher order moments up to eighth and higher order cumulants up to eighth are proposed as the prominent characteristic of signals. In the optimization module it is optimized the recognizer design by genetic algorithm for selection the best features that are fed to the classifier. Simulation results show that the proposed technique has very high recognition accuracy with six features selected by optimizer.

关键词： Signal to noise ratio Testing Modulation Feature extraction Genomics bioinformatics

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An image encryption system by 2D Memorized Cellular Automata and chaos mapping

An image encryption system by 2D Memorized Cellular Automata...

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international conference on Digital Content, Multimedia Technology and its Applications (IDC)

作者： M. Habibipour R. Maarefdoust M. Yaghobi S. Rahati Department of Computer Science Islamic Azad University Iran

In this paper a new image encryption system based on replacement of pixels values by using 2D Memorized Cellular Automata and chaos mapping is proposed. Cellular Automata rules are defined based on chaos mapping and stored in private key. Proposed system have some advantages such as confusion, diffusion, symmetric private key, very large number of secret keys, key-dependent pixel value replacement and increasing system complexity with the impact of indefinite rules and chaos mapping. Simulation results obtained from the some images at the USC-SIPI database, demonstrate the strong performance of the proposed image encryption system.

关键词： Cryptography Correlation Chaos Image recognition pattern recognition Image coding Reliability

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Fingerprint identification using local Gabor filters

Fingerprint identification using local Gabor filters

引用

international conference on Networked Computing and Advanced Information Management (NCM)

作者： Chih-Jen Lee Tai-Ning Yang Chun-Jung Chen Allen Y. Chang Sheng-Hsuan Hsu Department of Computer Science Chinese Cultural University Taipei Taiwan

Conventional Gabor filter-based approaches are global considerations for the selections of Gabor filters. Owing to fingerprint patterns are full of ridges and valleys; the whole fingerprint can be viewed as the composition of many various local ridge-valley structures. Based on the various local ridge orientations and frequencies, the whole fingerprint is represented by a template of local Gabor filters. therefore, the core point detection and fingerprint matching are directly performed from gray-scale images without preprocessing. As compared with the global Gabor filter-based approach, the proposed method not only saves memory space, but also speeds up the whole procedure. Testing with the same database, higher recognition rates are also achieved for the local approach.

关键词： pattern recognition Gabor filters Pixel Time frequency analysis

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Cognitive reasoning UBIAS & E-UBIAS systems in medical informatics

Cognitive reasoning UBIAS & E-UBIAS systems in medical infor...

引用

international conference on Networked Computing (INC)

作者： Marek R. Ogiela Lidia Ogiela Ryszard Tadeusiewicz Institute of Automatics Faculty of Management AGH University of Science and Technology Krakow Krakow Poland

ISBN: (纸本)9781424469864;9788988678206

this paper presents the new classes of dedicated, new generation information systems called UBIAS and E-UBIAS. Such systems belong to the wider group of cognitive information systems and are designed to perform semantic interpretation of complex visual patterns in the form of medical visualization. these systems are predecessors of a new generation of intelligent systems developed for understanding medical images, and allowing to create special biometrie characteristics for particular person.

关键词： Biomedical informatics Data analysis Image analysis Resonance Biomedical imaging Character generation Intelligent systems pattern analysis Management information systems Image recognition

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