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

共 1406 条记录，以下是351-360 订阅

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CONTROLLING CORRELATION-ENERGY DISTRIBUTION USING WINDOW FUNCTIONS 5

CONTROLLING CORRELATION-ENERGY DISTRIBUTION USING WINDOW FUN...

引用

5th conference on Optical pattern recognition

作者： MAHALANOBIS, A ORCUTT, EK HUGHES MISSILE SYST CO TUCSONAZ 85734

ISBN: (纸本)0819415413

Several important advances have been recently made in the design of correlation filters. Among these, the minimum average correlation energy (MACE) filter is designed to yield sharp easily distinguished correlation peaks. To achieve this, the MACE filter minimizes the energy of the correlator output. We now introduce a windowing technique to control the distribution of the energy to further improve the correlation plane structure. the windows can be used to enhance the quality of the peak and reduce sidelobes by mobilizing the energy to unimportant regions of the correlation functions. this technique is particularly well suited for 1D signal processors such as acousto-optical correlators.

关键词： Filtering (signal processing) Correlation function Image filtering Detection and tracking algorithms Optical correlators Signal processing Optical pattern recognition Linear filtering Matrices Optical filters

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Representative prototype sets for data characterization and classification

Representative prototype sets for data characterization and ...

引用

5th INNS IAPR TC 3 GIRPR Workshop on Artificial Neural Networks for pattern recognition, ANNPR 2012

作者： Lausser, Ludwig Müssel, Christoph Kestler, Hans A. Research Group Bioinformatics and Systems Biology Institute of Neural Information Processing Ulm University Ulm 89069 Germany

ISBN: (纸本)9783642332111

Common classifier models are designed to achieve high accuracies, while often neglecting the question of interpretability. In particular, most classifiers do not allow for drawing conclusions on the structure and quality of the underlying training data. By keeping the classifier model simple, an intuitive interpretation of the model and the corresponding training data is possible. A lack of accuracy of such simple models can be compensated by accumulating the decisions of several classifiers. We propose an approach that is particularly suitable for high-dimensional data sets of low cardinality, such as data gained from high-throughput biomolecular experiments. Here, simple base classifiers are obtained by choosing one data point of each class as a prototype for nearest neighbour classification. By enumerating all such classifiers for a specific data set, one can obtain a systematic description of the data structure in terms of class coherence. We also investigate the performance of the classifiers in cross-validation experiments by applying stand-alone prototype classifiers as well as ensembles of selected prototype classifiers. © 2012 Springer-Verlag.

关键词： Clustering algorithms

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MIXTURE INPUT TRANSFORMATIONS FOR ADAPTATION OF HYBRID CONNECTIONIST SPEECH RECOGNIZERS 5

MIXTURE INPUT TRANSFORMATIONS FOR ADAPTATION OF HYBRID CONNE...

引用

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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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...

引用

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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ROLE OF COHERENCE IN OPTICAL-pattern recognition 5

ROLE OF COHERENCE IN OPTICAL-PATTERN RECOGNITION

引用

5th conference on Optical pattern recognition

作者： VANDERGRACHT, J MAIT, JN PRAthER, DW AthALE, RA USA RES LABADELPHIMD 20783

ISBN: (纸本)0819415413

Spatial coherence in optical processing can be exploited to implement a wide variety of image processing functions. While fully coherent systems tend to receive the most attention, spatially noncoherent systems can often provide equivalent functionality while offering significant advantages over coherent systems with regard to noise performance and system robustness. the term noncoherent includes both partially coherent and fully incoherent illumination. In addition to the noise immunity advantage, noncoherent diffraction-based processors have relaxed requirements on pupil plane spatial light modulator characteristics. In this paper we provide a discussion of the tradeoffs between coherent and noncoherent processing, taking into account the limited performance characteristics of commercially available spatial light modulators. the advantages of noncoherent processing are illustrated with numerical and experimental results corresponding to three different noncoherent architectures.

关键词： Point spread functions Spatial light modulators Optical correlators Optical pattern recognition Signal to noise ratio Optical signal processing Phase only filters Phase shift keying Image processing Modulation

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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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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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Handwritten Farsi/Arabic word recognition

Handwritten Farsi/Arabic word recognition

引用

5th IEEE/ACS international conference on Computer Systems and Applications (AICCSA-07)

作者： Broumandnia, A. Shanbehzadeh, J. Nourani, M. Islamic Azad Univ Tehran S Branch Tehran Iran Tarbiat Moallem Univ Tehran Iran Univ Tehran Tehran 14174 Iran

ISBN: (纸本)9781424410309

this paper presents a novel holistic Handwritten Farsi /Arabic Word recognition scheme in situation where we face with word rotation and scale change. Image words features are extracted by exploiting rotation and scale invariance characteristics of M-Band packet wavelet transform performed on polar transform version of images of handwritten Farsi/Arabic words. the extracted features construct a feature vector for each word image. this vector is employed in recognition phase by finding the similar words based on the least Mahalanobis distance of feature vectors. this scheme is robust against rotation and scaling. Experimental results, obtained from testing different handwritten texts with various orientations and scales, show that proposed scheme outperforms Fourier-wavelet and Zernike moments algorithms. the robustness of new scheme has been tested with images corrupted by Gaussian noise and compared with similar schemes. Experimental results show that the accuracy of our algorithm reaches 95.8 percents.

关键词： pattern recognition Farsi/Arabic Handwritings recognition wavelet transform.

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A kernel view of spectral point pattern matching

引用

Joint IAPR 10th international Workshop on Structural and Syntactic pattern recognition, SSPR 2004 and 5th international Workshop on Statistical Techniques in pattern recognition, SPR 2004

作者： Wang, Hongfang Hancock, Edwin R. Department of Computer Science University of York HeslingtonYO10 5DD United Kingdom

ISBN: (纸本)9783540225706

this paper investigates spectral approaches to the problem of point pattern matching. Specifically, kernel principle component analysis (kernel PCA) methods are studied and compared with Shapiro and Brady’s approach and multidimensional scaling methods on both synthetic data and real world data. We demonstrate that kernel methods can be effectively used for solving the point correspondence matching problem with a performance that is comparable with other iterativebased algorithms in the literature under the existing of outliers and random position jitter. We also provide discussion of the theoretical support from kernel PCA to the earlier approach of Shapiro and Brady. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Principal component analysis

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Super-pixel Segmentation based Skin texture pattern recognition 5

Super-pixel Segmentation based Skin texture pattern recognit...

引用

5th international conference on Electronics, Communication and Aerospace Technology, ICECA 2021

作者： Surya, T. Chitra Selvi, S. Palanivel, Arumugam Bhuvaneswari, R. Anna University-University College of Engineering Electrical and Electronics Engineering Thirukkuvalai Tamil Nadu India KPIT Technologies Limited Pune India Indian Maritime University Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9781665435246

Super-pixel segmentation is widely used nowadays in image processing to enhance segmentation accuracy. A new detection model is proposed for skin texture pattern recognition of Leopard, Cheetah, and Jaguar. In this model, a combination of Histogram of Gradient (HOG) and superpixel segmentation is used for extracting the features and the segmentation task of the target animal. this method does not require several superpixels to be created in advance, whereas it can automatically partition the image to its content into a suitable number of superpixels without any over or under segmentation. then, the obtained features are fed into a Support Vector Machine (SVM) classifier to classify the skin texture pattern of Leopard, Cheetah, and Jaguar. the validation is performed which shows that the classifier achieves an accuracy of 96.67 %. © 2021 IEEE.

关键词： Support vector machines

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