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检索条件"任意字段=5th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011"

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5th iberian conference on pattern recognition and image analysis, ibpria 2011

5th Iberian Conference on Pattern Recognition and Image Anal...

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5th iberian conference on pattern recognition and image analysis, ibpria 2011

ISBN: (纸本)9783642212567

the proceedings contain 92 papers. the special focus in this conference is on pattern recognition and image analysis. the topics include: Classification of repetitive patterns using symmetry group prototypes;distance maps from unthresholded magnitudes;scratch assay analysis with topology-preserving level sets and texture measures;level set segmentation with shape and appearance models using affine moment descriptors;Automatic hyperparameter estimation in fMRI;Automatic branching detection in IVUS sequences;a region segmentation method for colonoscopy images using a model of polyp appearance;Interactive labeling of WCE images;automatic and semi-automatic analysis of the extension of myocardial infarction in an experimental murine model;a shortest path approach for vibrating line detection and tracking;Non-rigid multi-modal registration of coronary arteries using SIFTflow;diffuse liver disease classification from ultrasound surface characterization, clinical and laboratorial data;Classification of ultrasound medical images using distance based feature selection and fuzzy-SVM;ultrasound plaque enhanced activity index for predicting neurological symptoms;on the distribution of dissimilarity increments;unsupervised joint feature discretization and selection;probabilistic ranking of product features from customer reviews;vocabulary selection for graph of words embedding;feature selection in regression tasks using conditional mutual information;dual layer voting method for efficient multi-label classification;and-Or graph grammar for architectural floor plan representation, learning and recognition. a semantic, structural and hierarchical model;passive-aggressive for on-line learning in statistical machine translation;feature set search space for fuzzyboost learning;interactive structured output prediction: Application to chromosome classification;on the use of diagonal and class-dependent weighted distances for the probabilistic k-nearest Neighbor.

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pattern recognition and image analysis - 5th iberian conference, ibpria 2011, Proceedings

Pattern Recognition and Image Analysis - 5th Iberian Confere...

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5th iberian conference on pattern recognition and image analysis, ibpria 2011

ISBN: (纸本)9783642212567

the proceedings contain 92 papers. the topics discussed include: feature selection for gender classification;classification of repetitive patterns using symmetry group prototypes;distance maps from unthresholded magnitudes;scratch assay analysis with topology-preserving level sets and texture measures;level set segmentation with shape and appearance models using affine moment descriptors;automatic HyperParameter estimation in fMRI;automatic branching detection in IVUS sequences;a region segmentation method for colonoscopy images using a model of polyp appearance;interactive labeling of WCE images;automatic and semi-automatic analysis of the extension of myocardial infarction in an experimental murine model;and non-rigid multi-modal registration of coronary arteries using SIFTflow.

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10th iberian conference on pattern recognition and image analysis, ibpria 2022

10th Iberian Conference on Pattern Recognition and Image Ana...

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10th iberian conference on pattern recognition and image analysis, ibpria 2022

ISBN: (纸本)9783031048807

the proceedings contain 54 papers. the special focus in this conference is on pattern recognition and image analysis. the topics include: On the Performance of Deep Learning Models for Respiratory Sound Classification Trained on Unbalanced Data;automated Adequacy Assessment of Cervical Cytology Samples Using Deep Learning;exploring Alterations in Electrocardiogram During the Postoperative Pain;differential Gene Expression analysis of the Most Relevant Genes for Lung Cancer Prediction and Sub-type Classification;Detection of Epilepsy in EEGs Using Deep Sequence Models – A Comparative Study;facial Emotion recognition for Sentiment analysis of Social Media Data;heartbeat Selection Based on Outlier Removal;characterization of Emotions through Facial Electromyogram Signals;classification of Untranscribed Handwritten Notarial Documents by Textual Contents;multimodal Feature Evaluation and Fusion for Emotional Well-Being Monitorization;temporal Convolutional Networks for Robust Face Liveness Detection;maxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks;transparent Management of Adjacencies in the Cubic Grid;abbreviating Labelling Cost for Sentinel-2 image Scene Classification through Active Learning;feature-Based Classification of Archaeal Sequences Using Compression-Based Methods;a First Approach to image Transformation Sequence Retrieval;discriminative Learning of Two-Dimensional Probabilistic Context-Free Grammars for Mathematical Expression recognition and Retrieval;golf Swing Sequencing Using Computer Vision;domain Adaptation in Robotics: A Study Case on Kitchen Utensil recognition;incremental Vocabularies in Machine Translation through Aligned Embedding Projections;An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5;LIDAR Signature Based Node Detection and Classification in Graph Topological Maps for Indoor Navigation;visual Event-Based Egocentric Human Action recognition;an Edge-Based Computer Vision Approach for D

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Interactive Structured Output Prediction: Application to Chromosome Classification

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Oncina, Jose Vidal, Enrique Univ Alicante Dept Lenguajes & Sistemas Informat Alicante Spain Univ Politecn Valencia Inst Informat Technol Valencia Spain

ISBN: (纸本)9783642212567;9783642212574

Interactive pattern recognition concepts and techniques are applied to problems with structured output;i.e., problems in which the result is not just a simple class label, but a suitable structure of labels. For illustration purposes (a simplification of) the problem of Human Karyotyping is considered. Results show that a) taking into account label dependencies in a karyogram significantly reduces the classical (non-interactive) chromosome label prediction error rate and b) they are further improved when interactive processing is adopted.

关键词： interactive pattern recognition machine learning structured output prediction chromosome classification karyotype recognition

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Lossless Compression of Polar Iris image Data

Lossless Compression of Polar Iris Image Data

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Horvath, Kurt Stoegner, Herbert Uhl, Andreas Weinhandel, Georg School of CEIT Carinthian University of Applied Sciences Austria Department of Computer Sciences University of Salzburg Austria

ISBN: (纸本)9783642212567

the impact of using different lossless compression algorithms when compressing biometric iris sample data from several public iris databases is investigated. In particular, the application of dedicated lossless image codecs (lossless JPEG, JPEG-LS, PNG, and GIF), lossless variants of lossy codecs (JPEG2000, JPEG XR, and SPIHT), and a few general purpose file compression schemes is compared. We specifically focus on polar iris images (as a result after iris detection, iris extraction, and mapping to polar coordinates). the results are discussed in the light of the recent ISO/IEC FDIS 19794-6 standard and IREX recommendations.

关键词： ISO Standards

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Null Space Based image recognition Using Incremental Eigendecomposition

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Diaz-Chito, Katerine Ferri, Francesc J. Diaz-Villanueva, Wladimiro Univ Valencia Dept Informat E-46003 Valencia Spain

ISBN: (纸本)9783642212567;9783642212574

An incremental approach to the discriminative common vector (DCV) method for image recognition is considered. Discriminative projections are tackled in the particular context in which new training data becomes available and learned subspaces may need continuous updating. Starting from incremental eigendecomposition of scatter matrices, an efficient updating rule based on projections and orthogonalization is given. the corresponding algorithm has been empirically assessed and compared to its batch counterpart. the same good properties and performance results of the original method are kept but with a dramatic decrease in the computation needed.

关键词： Incremental learning discriminative common vector sube-spaces discriminative projections

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Poker Vision: Playing Cards and Chips Identification Based on image Processing

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Martins, Paulo Reis, Luis Paulo Teofilo, Luis Univ Porto DEEC Elect Engn Dept Fac Engn Rua Dr Roberto Frias P-4200 Oporto Portugal Faculdade de Engenharia Univ Porto LIACC P-4200 Porto Alegre RS Brazil

ISBN: (纸本)9783642212567;9783642212574

this paper presents an approach to the identification of playing cards and counting of chips in a poker game environment, using an entry-level webcam and computer vision methodologies. Most of the previous works on playing cards identification rely on optimal camera position and controlled environment. the presented approach is intended to suit a real and uncontrolled environment along with its constraints. the recognition of playing cards lies on template matching, while the counting of chips is based on colour segmentation combined with the Hough Circles Transform. With the proposed approach it is possible to identify the cards and chips in the table correctly. the overall accuracy of the rank identification achieved is around 94%.

关键词： Poker playing cards identification image processing template matching colour segmentation chips counting

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Feature Selection with Complexity Measure in a Quadratic Programming Setting

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Sousa, Ricardo Oliveira, Helder P. Cardoso, Jaime S. Univ Porto INESC Porto Fac Engn Oporto Portugal

ISBN: (纸本)9783642212567;9783642212574

Feature selection is a topic of growing interest mainly due to the increasing amount of information, being an essential task in many machine learning problems with high dimensional data. the selection of a subset of relevant features help to reduce the complexity of the problem and the building of robust learning models. this work presents an adaptation of a recent quadratic programming feature selection technique that identifies in one-fold the redundancy and relevance on data. Our approach introduces a non-probabilistic measure to capture the relevance based on Minimum Spanning Trees. three different real datasets were used to assess the performance of the adaptation. the results are encouraging and reflect the utility of feature selection algorithms.

关键词： Feature Selection pattern recognition Quadratic Optimisation

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Reflection Component Separation Using Statistical analysis and Polarisation

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Zhang, Lichi Hancock, Edwin R. Atkinson, Gary A. Univ York Dept Comp Sci York YO10 5DD N Yorkshire England Univ West England Machine Vis Lab Bristol Avon England

ISBN: (纸本)9783642212567;9783642212574

We show how to cast the problem of specularity subtraction as blind source separation from polarisation images. We commence by summarizing the relationships between the specular and diffuse reflection components for polarised images. We show how to use singular value decomposition for component separation. In particular, we show how reliable results can be obtained using three images acquired with different polariser angles under diffuse reflection. the proposed method can be used as the preprocessing step in shape from shading, segmentation, reflectance estimation and many other computer vision applications.

关键词： Blind source separation

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Classification of Repetitive patterns Using Symmetry Group Prototypes

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5th iberian conference on pattern recognition and image analysis (ibpria)

作者： Agusti-Melchor, Manuel Rodas-Jorda, Angel Valiente-Gonzalez, Jose-Miguel Univ Politecn Valencia Comp Vis Grp DISCA Escuela Tecn Super Ingn Informat Valencia 46022 Spain

ISBN: (纸本)9783642212567;9783642212574

We present a novel computational framework for automatic classification method by symmetries, for periodic images applied to content based image retrieval. the existing methods have several drawbacks because of the use of heuristics. these methods have shown low classification values when images exhibit imperfections due to the fabrication or the hand made process. Also, there is no way to give some computation of the classification goodness-of-fit. We propose to obtain an automatic parameter estimation for symmetry analysis. thus, the image classification is redefined as distances computation to the prototypes of a set of defined classes. Our experimental results improves the state of the art in wallpaper classification methods.

关键词： Symmetry symmetry groups image retrieval by symmetry prototype-based classification adaptive nearest neighbour classification

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