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检索条件"任意字段=5th International Conference on Pattern Recognition in Bioinformatics"

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Integrated recognition of Words and Phrase Boundaries 5

Integrated Recognition of Words and Phrase Boundaries

引用

5th international conference on Spoken Language Processing, ICSLP 1998

作者： Gallwitz, F. Batliner, A. Buckow, J. Huber, R. Niemann, H. Nöth, E. University of Erlangen-Nuremberg Pattern Recognition Martensstr. 3 Erlangen91058 Germany

In this paper we present an integrated approach for recognizing both the word sequence and the syntactic-prosodic structure of a spontaneous utterance. We take into account the fact that a spontaneous utterance is not merely an unstructured sequence of words by incorporating phrase boundary information into the language model and by providing HMMs to model boundaries. this allows for a distinction between word transitions across phrase boundaries and transitions within a phrase. During recognition, the syntactic-prosodic structure of the utterance is determined implicitly. Without any increase in computational effort, this leads to a 4% reduction of word error rate, and, at the same time, syntactic-prosodic boundary labels are provided for subsequent processing. the boundaries are recognized with a precision and recall rate of about 75% each. they can be used to reduce drastically the computational effort for parsing spontaneous utterances. We also present a system architecture to incorporate additional prosodic information. © 1998. 5th international conference on Spoken Language Processing, ICSLP 1998. All rights reserved.

关键词： Syntactics

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Built-in Smartphone Accelerometer Motion pattern recognition Using Wavelet Transform

Built-in Smartphone Accelerometer Motion Pattern Recognition...

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7th Int Conf on Soft Comp Models in Industrial and Environm Applications/5th Computational Intelligence in Security for Information Syst/3rd Int Conf on EUropean Transnational Educ

作者： Jirka, Jakub Prauzek, Michal Tech Univ Ostrava Dept Cybernet & Biomed Engn Ostrava Czech Republic

ISBN: (纸本)9783642330179

this paper is concerned with motion pattern recognition using built-in accelerometers inside of modern mobile devices - smartphones. More and more people are using these devices nowadays without using its full potential for user motion recognition and evaluation. As accelerometer magnitude level comparison is not sufficient for motion pattern recognition morlet wavelet based recognition algorithm is introduced and tested as well as its device implementation is described and tested. Set of basic motion patterns walking, running and shaking with the device is tested and evaluated.

关键词： Accelerometers

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COMPLEX LINEAR MORPHOLOGY FOR INTENSITY AND DISTORTION-INVARIANT pattern-recognition 5

COMPLEX LINEAR MORPHOLOGY FOR INTENSITY AND DISTORTION-INVAR...

引用

5th conference on Optical pattern recognition

作者： HASSEBROOK, LG RAHMATI, M DALEY, RC LHAMON, ME UNIV KENTUCKY DEPT ELECT ENGNLEXINGTONKY 40506

ISBN: (纸本)0819415413

Any desired diffraction pattern can be produced in the Fourier plane by specification of a corresponding input plane transparency. Complex-valued transmittance is generally required, but in practice, phase-only transmittance is used. Many design procedures use numerically intensive, constrained optimization. We, instead, use a noniterative procedure that directly translates the desired, but unavailable, complex transparency into an appropriate phase transparency. At each pixel the value of phase is pseudorandomly selected from a random distribution whose standard deviation is specified by the desired amplitude. We apply the pseudorandom phase-only encoding to hybrid composite filter design. these filters are used in a filter bank architecture to perform intensity- and distortion-invariant pattern recognition.

关键词： Image filtering Stereolithography Linear filtering Optical filters Fractal analysis Nonlinear filtering Target detection Composites Image processing Optical pattern recognition

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Proceedings of the 1996 5th IEEE international conference on Fuzzy Systems. Part 3 (of 3)

Proceedings of the 1996 5th IEEE International Conference on...

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Proceedings of the 1996 5th IEEE international conference on Fuzzy Systems. Part 3 (of 3)

the Proceedings of the 1996 IEEE international conference on Fuzzy Systems contains 112 papers. the main topics of the conference are the following: theory and application of fuzzy control, intelligent control and expert systems;development of fuzzy controllers;usage of fuzzy logic in robotics and medical monitoring;problems of fuzzy pattern recognition;fuzzy sets theory and foundations;design of computer hardware using fuzzy logic.

关键词： Fuzzy control

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the pattern recognition method for wear particle image based on rough sets—neural network theory 5

The pattern recognition method for wear particle image based...

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5th international conference on Computing, Control and Industrial Engineering, CCIE 2014

作者： Bai, Shi Hong Guan, Li Rong Wang, Yan Jing School of Mechanical Engineering Shenyang LIgong University Shenyang China

ISBN: (纸本)9783038352686

By analysis the difference of applying the rough set method and the neural network method to pattern recognition, a improved recognition method that the rough set method is the front system of neural network was produced. the advantages of this method is that the knowledge representation system is reduced without affecting the recognition precision, so the complexity of neural network system and the time of calculating the attribute value is declined;at the same time,the neural network as the postpositional system has the tolerance and anti-jamming capability, but it is difficult to do this with rough set method. the example about how to combine these two methods and conclusions from this combination was given. © (2014) Trans Tech Publications, Switzerland.

关键词： Rough set theory

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Sub-pattern non-negative matrix factorization based on random subspace for face recognition

Sub-pattern non-negative matrix factorization based on rando...

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5th international conference on Wavelet Analysis and pattern recognition

作者： Zhu, Yu-Lian Nanjing Univ Aeronaut & Astronaut Dept Comp Sci & Engn Nanjing 210016 Peoples R China

ISBN: (纸本)9781424410651

Non-negative matrix factorization (NMF) as a part-based representation method allows only additive combinations of non-negative basis components to represent the original data, so it provides a realistic approximation to the original data. However, NMF does not work well when directly applied to face recognition due to its global linear decomposition;this intuitively results in a degradation of recognition performance and non-robustness to the variation in illumination, expression and occlusion. In this paper, we propose a robust method, random subspace sub-pattern NMF (RS-SpNMF), especially for face recognition. Unlike the traditional random subspace method (RSM), which completely randomly selects the features from the whole original pattern feature set, the proposed method randomly samples,features from each local region (or a sub-image) partitioned from the original face image and performs NMF decomposition on each sampled feature set. More specially, we first divide a face image into several sub-images in a deterministic way, then construct a component classifier on sampled feature subset from each sub-image set, and finally combine all of component classifiers for the final decision. Experiments on three benchmarks face databases (ORL,Yale and AR) show that the proposed method is effective, especially to the occlusive face image.

关键词： NMF face recognition PCA LNMF SpPCA SpNMF RS-SpNMF

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A new recognition method for the handwritten manchu character unit

A new recognition method for the handwritten manchu characte...

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5th international conference on Machine Learning and Cybernetics

作者： Zhang, Guang-Yuan Li, Jing-Jiao Wang, Ai-Xia Shenyang Univ Sch Informat Engn Shenyang 110044 Peoples R China Northeastern Univ Sch Informat Sci & Engn Shenyang 110004 Peoples R China

ISBN: (纸本)1424400600

the Manchu character recognition method based on Manchu character unit is an efficient method. In this method, the recognition accuracy rate of Manchu character unit has great influence on the final recognition result. As new approach to solve this problem, a hybrid wavelet neural network scheme has developed as a recognition method replaces the original mini-distance method. Both the learning samples set and testing samples set are used, experimental results demonstrate the method based on the wavelet neural network is more efficient than the original mini-distance method.

关键词： wavelet neural network Manchu pattern recognition character recognition

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Automatic separation of machine-printed and hand-written text lines 5

Automatic separation of machine-printed and hand-written tex...

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5th international conference on Document Analysis and recognition, ICDAR 1999

作者： Pal, U. Chaudhuri, B.B. Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 B. T. Road Calcutta700 035 India

ISBN: (纸本)0769503187

there are many types of documents where machine-printed and hand-written texts appear intermixed. Since the optical character recognition (OCR) methodologies for machine-printed and hand-written texts are different, it is necessary to separate these two types of text before feeding them to the respective OCR systems. In this paper, we present such a scheme for both Bangla and Devnagari characters. the scheme is based on the structural and statistical features of the machine-printed and hand-written text lines. the classification scheme has an accuracy of about 98.3%. © 1999 IEEE.

关键词： Optical character recognition

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FUNCTIONAL STATE CONCEPT IN MODELLING OF BIOTECHNOLOGICAL PROCESSES

FUNCTIONAL STATE CONCEPT IN MODELLING OF BIOTECHNOLOGICAL PR...

引用

2nd IFAC Symposium on Modeling and Control of Biotechnical Processes 1992/5th international conference on Computer Applications in Fermentation Technol

作者： HALME, A VISALA, A KANKARE, J HELSINKI UNIV TECHNOL AUTOMAT TECHNOL LABSF-02150 ESPOOFINLAND

ISBN: (纸本)0080417108

Variable structured modelling and the concept of the functional state is considered. A method to obtain the state machine, which controls transitions between the functional states is introduced. the method includes both symbolic or logic and algorithmic components. the concept and the method are illustrated by a simple `wire model'. State estimation under the functional state concept and multimodel environment is demonstrated. Applications to bioreactor control are discussed with references to alpha-amylase and yeast fermentations.

关键词： BIOTECHNOLOGY, MONITORING MODELING, pattern recognition FAILURE DETECTION, NONLINEAR SYSTEMS

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pattern recognition for water flooded layer based on ensemble classifier 5

Pattern recognition for water flooded layer based on ensembl...

引用

5th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Geng, ZhiQiang Hu, Xuan Zhu, QunXiong Han, YongMing Xu, Yuan He, Yanlin Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China Minist Educ China Engn Res Ctr Intelligent PSE Beijing 100029 Peoples R China

ISBN: (纸本)9781538650653

In order to establish an effective water flooded layer recognition model to deal with complex chromatogram data and correctly identify the water flooded layer in the oil and gas reservoirs, this paper proposes a modeling approach based on ensemble classifier. First, the proposed approach utilizes the function fitting method to obtain the effective chromatogram characteristic information (CCIs). Moreover, in order to transform the sparse classification problem into a general classification problem, the synthetic minority oversampling technique (SMOTE) algorithm is used to process the unbalanced training sample as a general training sample. Compared with the traditional classification approach, the robustness and effectiveness of the ensemble classifier model composed of the model-free classification (MFBC) algorithm, the k-nearest neighbor (KNN) algorithm and the support vector machine (SVM) algorithm were validated through the standard data source from the UCI (University of California at Irvine) repository. Finally, the proposed model is validated through an application in a complex oil and gas recognition system of China petroleum industry. the CCIs and the prediction results are obtained to provide more reliable water flooded layer information, guide the process of reservoir exploration and development and improve the oil development efficiency.

关键词： ensemble classifier model-free classification algorithm k-nearest neighbor support vector machine synthetic minority over-sampling technique water flooded layer identification

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