Direction constrained and bipolar waves are introduced their possible applications for direction selective curvature and concavity detection as well as region segmentation are shown. A CNN algorithm frame for feature-...
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ISBN:
(纸本)0780363442
Direction constrained and bipolar waves are introduced their possible applications for direction selective curvature and concavity detection as well as region segmentation are shown. A CNN algorithm frame for feature-based object decomposition is presented Algorithms are tested on the 64x64 CNNUM chip.
the proceedings contain 27 papers. the special focus in this conference is on Artificial Neural Networks for patternrecognition. the topics include: Large margin distribution learning;a decorrelation approach for pru...
ISBN:
(纸本)9783319116556
the proceedings contain 27 papers. the special focus in this conference is on Artificial Neural Networks for patternrecognition. the topics include: Large margin distribution learning;a decorrelation approach for pruning of multilayer perceptron networks;unsupervised active learning of CRF model for cross-lingual named entity recognition;incremental feature selection by block addition and block deletion using least squares SVRs;low-dimensional data representation in data analysis;analyzing dynamic ensemble selection techniques using dissimilarity analysis;hidden Markov models based on generalized Dirichlet mixtures for proportional data modeling;majority-class aware support vector domain oversampling for imbalanced classification problems;forward and backward forecasting ensembles for the estimation of time series missing data;dynamic weighted fusion of adaptive classifier ensembles based on changing data streams;combining bipartite graph matching and beam search for graph edit distance approximation;computing upper and lower bounds of graph edit distance in cubic time;a new multi-class fuzzy support vector machine algorithm;a reinforcement learning algorithm to train a Tetris playing agent;automatic bridge crack detection - a texture analysis-based approach;part-based high accuracy recognition of serial numbers in bank notes;comparative study of feature selection for white blood cell differential counts in low resolution images;end-shape recognition for Arabic handwritten text segmentation;intelligent ensemble systems for modeling NASDAQ microstructure;face recognitionbased on discriminative dictionary with multilevel feature fusion;investigating of preprocessing techniques and novel features in recognition of handwritten Arabic characters and a time series classification approach for motion analysis using ensembles in ubiquitous healthcare systems.
Here, we intend to propose a 2D contour descriptor that we call Generalized Curvature Scale Space (GCSS) based on the iso-curvature levels, and the curvature scale space (CSS) descriptor. We start by computing the cur...
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ISBN:
(纸本)9783319606545;9783319606538
Here, we intend to propose a 2D contour descriptor that we call Generalized Curvature Scale Space (GCSS) based on the iso-curvature levels, and the curvature scale space (CSS) descriptor. We start by computing the curvature in different scales and extract the points which have the same curvature values as the maximums in each scale. Each CSS image is represented by a set of key points. the Dynamic Time Warping (DTW) similarity measure is used. We reach a significant rate in image recognition using two data sets (HMM GPD and MPEG7 CE Shape-1 Part-B set).
作者：
Jahn, HDLR
Inst Weltraumsensorik Berlin Germany
A recurrent Cellular Neural Network (CNN) for dot pattern clustering is presented. the CNN is based on dot pattern smoothing with a recursive algorithm which updates the dot positions by summing up nonlinear functions...
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ISBN:
(纸本)0819427934
A recurrent Cellular Neural Network (CNN) for dot pattern clustering is presented. the CNN is based on dot pattern smoothing with a recursive algorithm which updates the dot positions by summing up nonlinear functions of position differences of Voronoi neighbors in each step. A perception criterion which assesses the proximity of dots by comparing their distance with an adaptive threshold is used for weighting the position differences and for the generation of a special graph, the Dot Proximity graph (DPG). the clusters are the connected components of the DPG. the method explains the Gestalt phenomenon "Grouping by Proximity" and often corresponds with human perception which is demonstrated by representative examples. A possibility to deal with cluster hierarchies and dot textures is opened. Adequate cluster descriptions, especially a simple but powerful shape description, and a sequence of CNN's are needed for that purpose.
Gait has emerged as a distinguishable human biological trait. It refers to the walking style of an individual and is considered an important biometric feature for person identification. Codebook based gait recognition...
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ISBN:
(纸本)9781538613665
Gait has emerged as a distinguishable human biological trait. It refers to the walking style of an individual and is considered an important biometric feature for person identification. Codebook based gait recognition algorithms have demonstrated excellent performance by achieving high recognition rates. However, such methods construct a codebook for each database or scenario. In this paper, we investigate the idea of using a generic codebook for gait recognition. the proposed codebook is built by using spatiotemporal characteristics of gait sequences from a large diverse synthetic gait database. We also propose a gait recognition algorithm based on this generic codebook. the advantages of the proposed algorithm over the existing methods include its independency from generating a codebook for each database, rather the proposed generic codebook can be used to encode any gait scenario. Moreover, the proposed algorithm is model free and does not require human body segmentation or modeling. the performance of the proposed generic codebook-based gait recognition algorithm is evaluated on two large gait databases TUM GAID and CMU MoBo, and recognition rate reveals the effectiveness of the proposed algorithm.
this book constitutes the refereed proceedings of the 12th IAPR-TC-15 internationalworkshop on graph-based Representation in patternrecognition, GbRPR 2019, held in Tours, France, in June 2019.;the 22 full...
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ISBN:
(数字)9783030200817
ISBN:
(纸本)9783030200800
this book constitutes the refereed proceedings of the 12th IAPR-TC-15 internationalworkshop on graph-based Representation in patternrecognition, GbRPR 2019, held in Tours, France, in June 2019.;the 22 full papers included in this volume together with an invited talk were carefully reviewed and selected from 28 submissions. the papers discuss research results and applications at the intersection of patternrecognition, image analysis, and graphtheory. they cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph embedding, spectral graph problems, and parallel algorithms for graph problems.
the proceedings contain 34 papers. the topics discussed include: fixed low-rank EEG spatial filter estimation for emotion recognition induced by movies;recovery of non-linear cause-effect relationships from linearly m...
ISBN:
(纸本)9781467365307
the proceedings contain 34 papers. the topics discussed include: fixed low-rank EEG spatial filter estimation for emotion recognition induced by movies;recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data;collapsed variational Bayesian inference of the author-topic model: application to large-scale coordinate-based meta-analysis;voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI;novel histogram-weighted cortical thickness networks and a multi-scale analysis of predictive;classification-based tests for neuroimaging data analysis: comparison of best practices;M/EEG source localization with multi-scale time-frequency dictionaries;and towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization.
this paper presents an approach to derive critical points of a shape, the basis of a Reeb graph, using a combination of a medial axis skeleton and features along this skeleton. A Reeb graph captures the topology of a ...
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In this paper, we represent a fingerprint by SPFL-graph with singular points, cores and deltas, as vertices;and fault lines as edges. We propose and prove some theories based on the SPFL-graphs, which are bipartite gr...
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In this paper, we represent a fingerprint by SPFL-graph with singular points, cores and deltas, as vertices;and fault lines as edges. We propose and prove some theories based on the SPFL-graphs, which are bipartite graphs - cores can only be directly connected to deltas. We also analyze the characteristic of the SPFL-graph so that it can be predicted the types of singular points in fingerprints. this is a total new idea to fingerprints which will give a new direction of research in this field.
An approach to the interpretation and recognition of images based on the directional field is developed. A model of an image with structure redundancy is introduced. Digital methods for the construction of the directi...
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ISBN:
(纸本)0819427934
An approach to the interpretation and recognition of images based on the directional field is developed. A model of an image with structure redundancy is introduced. Digital methods for the construction of the directional field, including the method of local quadratic approximation, the spectral method, and the variance method, are considered. An optical scheme for the construction of the directional field withthe use of radial segment spatial Filters is presented. the developed approach is tested in the analysis of fingerprint images, tear crystallograms and interferograms.
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