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

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CORRELATION RESULTS USING INVARIANT FILTERS IN AN ACOUSTOOPTIC CORRELATOR 5

CORRELATION RESULTS USING INVARIANT FILTERS IN AN ACOUSTOOPT...

引用

5th conference on Optical pattern recognition

作者： AUGUSTUS, EP GOLDSTEIN, DH KALLMAN, RR ROth, P TURPIN, T WRIGHT LAB ARMAMENT DIRECTORATEMNGAEGLIN AFBFL 32542

ISBN: (纸本)0819415413

Experimental correlation results using invariant filters in an acousto-optic processor are presented and compared with simulation results. Zero and 15 phase state filters are used. Phase-encoded input as well as intensity input examples are given. A variety of invariance ranges are used, with target-specific discrimination included in the filter construction. the acousto-optic processor is described.

关键词： Image filtering Optical filters Acousto-optics Fourier transforms Image processing Optical pattern recognition Optical correlators Spatial light modulators Phase only filters Synthetic aperture radar

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Design of motion pattern recognition system based on MPU6050 and pressure sensor 5

Design of motion pattern recognition system based on MPU6050...

引用

5th international conference on Mechatronics and Computer Technology Engineering, MCTE 2022

作者： Li, Haoyuan Hu, Xufeng Huang, Jingxu Wang, Yang School of Automation Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781510661073

Aimed at the defects of low accuracy of motion pattern recognition and large volume of measuring equipment, a motion pattern recognition system based on MPU6050 and pressure sensor is designed, and the overall structure of the system is given. the system takes nRF2401 wireless transmission module as the node to transmit the pressure and acceleration data collected by the data acquisition system to the data processing system. After preprocessing the data, the system extracts the eigenvalues, passes them into the double classification model based on SVM, corrects the model parameters, and achieve the task of motion pattern recognition. Experiments show that the system has small volume, high accuracy, and the accuracy is as high as 92%, which is obviously superior to the model using pressure data and classification model based on SVM. © 2022 SPIE.

关键词： Wavelet decomposition

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MIXTURE INPUT TRANSFORMATIONS FOR ADAPTATION OF HYBRID CONNECTIONIST SPEECH RECOGNIZERS 5

MIXTURE INPUT TRANSFORMATIONS FOR ADAPTATION OF HYBRID CONNE...

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5th European conference on Speech Communication and Technology, EUROSPEECH 1997

作者： Abrash, Victor Speech Technology and Research Laboratory SRI International Menlo ParkCA94025 United States

We extend the input transformation approach for adapting hybrid connectionist speech recognizers to allow multiple transformations to be trained. Previous work has shown the efficacy of the linear input transformation approach for speaker adaptation [1][2][3], but has focused only on training global transformations. this approach is clearly suboptimal since it assumes that a single transformation is appropriate for every region in the acoustic feature input space, that is, for every phonetic class, microphone, and noise level. In this paper, we propose a new algorithm to train mixtures of transformation networks (MTNs) in the hybrid connectionist recognition framework. this approach is based on the idea of partitioning the acoustic feature space into regions and training an input transformation for each region. the transformations are combined probabilistically according to the degree to which the acoustic features belong to each region, where the combination weights are derived from a separate acoustic gating network (AGN). We apply the new algorithm to nonnative speaker adaptation, and present recognition results for the 1994 WSJ Spoke 3 development set. the MTN technique can also be used for noise or microphone robust recognition or for other nonspeech neural network pattern recognition problems. © 1997 5th European conference on Speech Communication and Technology, EUROSPEECH 1997. All rights reserved.

关键词： Mixtures

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Artificial Immune Systems - 5th international conference, ICARIS 2006. Proceedings

Artificial Immune Systems - 5th International Conference, IC...

引用

5th international conference on Artificial Immune Systems, ICARIS 2006

ISBN: (纸本)3540377492

the proceedings contain 34 papers. the topics discussed include: modelling the control of an immune response through cytokine signalling;modeling influenza viral dynamics in tissue;analysis of a growth model for idiotypic networks;the idiotypic network with binary patterns matching;on permutation masks in hamming negative selection;a computational model of degeneracy in a lymph node;structural properties of shape-spaces;integrating innate and adaptive immunity for intrusion detection;a comparative study on self-tolerant strategies for hardware immune systems;on the use of hyperspheres in artificial immune systems as antibody recognition regions;a heuristic detector generation algorithm for negative selection algorithm with hamming distance partial matching rule;recognition of handwritten indic script using clonal selection algorithm;and diophantine benchmarks for the B-cell algorithm.

关键词： Artificial intelligence

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COMPARISON OF COHERENT AND NONCOHERENT OPTICAL CORRELATORS 5

COMPARISON OF COHERENT AND NONCOHERENT OPTICAL CORRELATORS

引用

5th conference on Optical pattern recognition

作者： CASASENT, D HOUSE, G CARNEGIE MELLON UNIV DEPT ELECT & COMP ENGNCTR EXCELLENCE OPT DATA PROCPITTSBURGHPA 15213

ISBN: (纸本)0819415413

this paper presents a simplified description of coherent and noncoherent optical correlators and derives the correlator models. the advantages of the tolerances in component positioning and quality for the noncoherent correlator are explained in detail. Performance measures for correlator comparison are outlined and quantitative comparison data are provided. An implementation approach for bipolar noncoherent filters is introduced and promising results simulating a limited number of amplitude and phase levels are given. We will show that the performance of noncoherent and coherent correlators are comparable and thus the noncoherent correlator should be more widely used because of its implementation advantages.

关键词： Optical correlators Image filtering Tolerancing Optical filters Optical pattern recognition Detection and tracking algorithms Sensors Image enhancement Lithium Signal to noise ratio

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A Bootstrap Training Approach for Language Model Classifiers 5

A Bootstrap Training Approach for Language Model Classifiers

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5th international conference on Spoken Language Processing, ICSLP 1998

作者： Warnke, V. Nöth, E. Buckow, J. Harbeck, S. Niemann, H. University of Erlangen-Nuremberg Pattern Recognition Martensstr. 3 Erlangen91058 Germany

In this paper, we present a bootstrap training approach for language model (LM) classifiers. Training class dependent LM and running them in parallel, LM can serve as classifiers with any kind of symbol sequence, e.g., word or phoneme sequences for tasks like topic spotting or language identification (LID). Irrespective of the special symbol sequence used for a LM classifier, the training of a LM is done with a manually labeled training set for each class obtained from not necessarily cooperative speakers. therefore, we have to face some erroneous labels and deviations from the originally intended class specification. Both facts can worsen classification. It might therefore be better not to use all utterances for training but to automatically select those utterances that improve recognition accuracy;this can be done by a bootstrap procedure. We present the results achieved with our best approach on the VERBMOBIL corpus for the tasks dialog act classification and LID. © 1998. 5th international conference on Spoken Language Processing, ICSLP 1998. All rights reserved.

关键词： Classification (of information)

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Proceedings of 2023 5th international conference on Internet of things, Automation and Artificial Intelligence, IoTAAI 2023

Proceedings of 2023 5th International Conference on Internet...

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5th international conference on Internet of things, Automation and Artificial Intelligence, IoTAAI 2023

ISBN: (纸本)9798400716485

the proceedings contain 148 papers. the topics discussed include: research on the application of multi-intelligence collaborative method based on imitation learning;application of deep reinforcement learning based graph convolutional neural network for sugarcane leaf disease identification;analysis of active decision model based on big data and pattern recognition;national flags recognition based on image processing;research on fault tolerant mechanisms in wireless sensor networks;quality prediction of brewing Koji based on multitask learning;research on the implementation strategy of civic teaching in higher vocational English courses for digital resource construction;task offloading strategy algorithm for realistic Internet of vehicles scenarios;and Tibetan college students’ acquisition of English back vowels based on information technology.

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5th international Workshop on Modeling Social Media, MSM 2014, 5th international Workshop on Mining Ubiquitous and Social Environments, MUSE 2014 and First international Workshop on Machine Learning for Urban Sensor Data, SenseML 2014

5th International Workshop on Modeling Social Media, MSM 201...

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5th international Workshop on Mining Ubiquitous and Social Environments, MUSE 2014

ISBN: (纸本)9783319290089

the proceedings contain 9 papers. the special focus in this conference is on Big Data Analytics in the Social and Ubiquitous Context. the topics include: Using wikipedia for cross-language named entity recognition;the best way to predict the future is to tweet it;a latent space analysis of editor lifecycles in wikipedia;on spatial measures of geographic relevance for geotagged social media content;formation and temporal evolution of social groups during coffee breaks;a road pavement monitoring system for anomaly detection using smart phones;mining ticketing logs for usage characterization with nonnegative matrix factorization and context-aware location prediction.

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CORRELATION FILTERS FOR TEXTURE recognition AND APPLICATIONS TO TERRAIN-DISCRIMINATION IN SAR IMAGES 5

CORRELATION FILTERS FOR TEXTURE RECOGNITION AND APPLICATIONS...

引用

5th conference on Optical pattern recognition

作者： SINGH, H MAHALANOBIS, A JAGLER, KB AWARE INC CAMBRIDGEMA 02142

ISBN: (纸本)0819415413

Terrain-discrimination is an important component of wide-area surveillance, with applications to battlefield terrain and agricultural terrain. Recently a statistical method was proposed by Mahalanobis and Singh to design spatial filters to recognize and discriminate between various textures. We apply this technique to texture discrimination in SAR images. It is demonstrated that the technique is a viable one and its robustness for terrain discrimination in SAR imagery is shown. Spatial correlation filters are used for texture distinction. the filters are implementable as optical (or digital) correlators for fast real-time texture recognition without segmentation. the filter coefficients are determined via eigenvector analysis. Examples for airborne SAR images are given to illustrate the proposed scheme for terrain discrimination.

关键词： Synthetic aperture radar Spatial filters Image filtering Image processing Detection and tracking algorithms Filtering (signal processing) Optical pattern recognition Image segmentation Optical correlators Optical filters

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Ligand Electron Density Shape recognition Using 3D Zernike Descriptors

Ligand Electron Density Shape Recognition Using 3D Zernike D...

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4th international conference pattern recognition in bioinformatics

作者： Gunasekaran, Prasad Grandison, Scott Cowtan, Kevin Mak, Lora Lawson, David M. Morris, Richard J. John Innes Ctr Dept Computat & Syst Biol Norwich Res PkColney Lane Norwich NR4 7UH Norfolk England Univ York Dept Chem Struct Biol Lab York YO10 5DD N Yorkshire England Inst Food Res Theoret Syst Biol Norwich NR4 7UA Norfolk England John Innes Ctr Dept Biol Chem Norwich NR4 7UH Norfolk England

ISBN: (纸本)9783642040306

We present a novel approach to crystallographic ligand density interpretation based on Zernike shape descriptors. Electron density for a bound ligand is expanded in an orthogonal polynomial series (3D Zernike polynomials) and the coefficients from this expansion are employed to construct rotation-invariant descriptors. these descriptors can be compared highly efficiently against large databases of descriptors computed front other molecules. In this manuscript we describe this process and show initial results from an electron density interpretation study oil a dataset containing over a hundred OMIT maps. We could identify the correct ligand as the first hit in about 30% of the cases, within the top five in a further 30% of the cases, and giving rise to an 80% probability of getting the correct ligand within the top ten matches. In all but a few examples, the top hit was highly similar to the correct ligand in both shape and chemistry. Further extensions and intrinsic limitations of the method are discussed.

关键词： pattern recognition structural bioinformatics electron density protein crystallography 3D Zernike moments

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