Search results for: BOOK PAGE CLASSIFICATION - Bridge of Knowledge

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Search results for: BOOK PAGE CLASSIFICATION

Search results for: BOOK PAGE CLASSIFICATION

  • Automated Classifier Development Process for Recognizing Book Pages from Video Frames

    One of the latest developments made by publishing companies is introducing mixed and augmented reality to their printed media (e.g. to produce augmented books). An important computer vision problem that they are facing is classification of book pages from video frames. The problem is non-trivial, especially considering that typical training data is limited to only one digital original per book page, while the trained classifier...

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  • Multi-Aspect Quality Assessment Of Mobile Image Classifiers For Companion Applications In The Publishing Sector

    Publication

    - Year 2021

    The paper presents the problem of quality assessment of image classifiers used in mobile phones for complimentary companion applications. The advantages of using this kind of applications have been described and a Narrator on Demand (NoD) functionality has been described as one of the examples, where the application plays an audio file related to a book page that is physically in front of the phone's camera. For such a NoD application,...

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  • Piotr Szczuko dr hab. inż.

    Piotr Szczuko received his M.Sc. degree in 2002. His thesis was dedicated to examination of correlation phenomena between perception of sound and vision for surround sound and digital image. He finished Ph.D. studies in 2007 and one year later completed a dissertation "Application of Fuzzy Rules in Computer Character Animation" that received award of Prime Minister of Poland. His interests include: processing of audio and video, computer...

  • Current Source Inverter Fed Drive

    Publication

    - Year 2021

    This book covers three-phase and multiphase (more than three-phase) motor drives including their control and practical problems faced in the field (e.g., adding LC filters in the output of a feeding converter), are considered. The new edition contains links to Matlab®/Simulink models and PowerPoint slides ideal for teaching and understanding the material contained within the book. Readers will also benefit from the inclusion of: A...

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  • Statistics with R A Handbook for Statistical Analysis with R and R-Studio

    Publication

    - Year 2022

    If you are to perform any kind of data (statistical) analysis and use tools in the data science ecosystem, you may have seen a variety of tutorials, handbooks online (I’m not mentioning traditional bibles of statistics). Unfortunately most of them is written intentionally for specific purposes and/or target group of people and does not include many aspects, data types, difficult aspects, usually hiding them trying to solve theoretical...

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  • Wiktoria Wojnicz dr hab. inż.

    DSc in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2019 PhD in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2009 (with distinction)   List of papers (2009 - ) Wojnicz W., Wittbrodt E., Analysis of muscles' behaviour. Part I. The computational model of muscle. Acta of Bioengineering and Biomechanics, Vol. 11, No.4, 2009, p. 15-21 Wojnicz W., Wittbrodt E., Analysis of...

  • High Performance Control of AC Drives with Matlab/ Simulink

    Publication

    - Year 2021

    Explore this indispensable update to a popular graduate text on electric drive techniques and the latest converters used in industry. The Second Edition of High Performance Control of AC Drives with Matlab®/Simulink delivers an updated and thorough overview of topics central to the understanding of AC motor drive systems. The book includes new material on medium voltage drives, covering state-of-the-art technologies and challenges...

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  • Adam Świeżyński dr hab.

    People

    https://sites.google.com/view/adamswiezynski/strona-g%C5%82%C3%B3wna-main-page/kariera-zawodowa-career?authuser=0

  • Book Review

    Acting over the last three decades as an Editor and Associate Editor for a number of international journals in the general area of cybernetics and AI, as well as a Chair and Co-Chair of numerous conferences in this field, I have had the exciting opportunity to closely witness and to be actively engaged in the stimulating research area of machine learning and its important augmentation with deep learning techniques and technologies. From...

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  • Are Pair Trading Strategies Profitable During COVID-19 Period?

    Publication
    • M. K. Sohail
    • A. Raheman
    • J. Iqbal
    • M. I. Sindhu
    • A. Staar
    • M. Mushafiq
    • H. Afzal

    - Journal of Information & Knowledge Management - Year 2022

    Pair trading strategy is a well-known profitable strategy in stock, forex, and commodity markets. As most of the world stock markets declined during COVID-19 period, therefore this study is going to observe whether this strategy is still profitable after COVID-19 pandemic. One of the powerful algorithms of DBSCAN under the umbrella of unsupervised machine learning is applied and three clusters were formed by using market and accounting...

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  • "Food Oxidants and Antioxidants" Book review

    The book is the 14th title in the CRC series Chemical and Functional Properties of Food Components, edited since 2001 by Zdzisław E. Sikorski. The editor of the book, a professor in the University of Łódź and member of the Polish Academy of Sciences, is an internationally recognized authority in biochemistry and biophysics of reactive oxygen species. In Poland Grzegorz Bartosz has a reputation as the author of his most interesting...

  • Marek Czachor prof. dr hab.

  • New results for online page replication.

    Publication

    - Year 2004

    W artykule zbadano problem replikacji stron dokonywanej w trybie on-line. Przedstawiono nowy randomizowany algorytm dla sieci pętlowych, który jest lepszy niż najlepszy dotąd znany. Poprawiono dolne oszacowania dla tego problemu. Pokazano możliwe rozszerzenia tego modelu przetwarzania. Pokazano, że prowadzi to do uproszczenia dowodów szeregu znanych twierdzeń.

  • Average price of a book in Poland (2010-2013)

    Open Research Data
    open access

    Although the Central Statistical Office does not provide detailed data on the growth rate of book prices, the overall comparison, which includes books, newspapers, magazines as well as drawing and painting articles, shows that the average annual price increase in 2011 amounted to 3.3% in this category. Moreover, as noted, the changes to the VAT Act...

  • Journal of Classification

    Journals

    ISSN: 0176-4268 , eISSN: 1432-1343

  • Book Chapter in the Prime Archives in Chemistry: 2nd Edition (dissemination of knowledge)

    Publication

    - Year 2022

    To cite a chapter in a book include: Jaroslaw Spychala. The CON−H….+NH2 Blue-Shifting H-Bond Stabilizing Effect on Z Secondary Amides and Cyclic System Conformational Rearrangement through an Alkylamine-Chain Migration Pathway. In: VSR Rajasekhar Pullabhotla, editor. Prime Archives in Chemistry: 2nd Edition. Hyderabad, India: Vide Leaf. 2022. https://doi.org/10.1155/2022/1707245

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  • The Book of Trends in Education 2.0

    Publication

    - Year 2015

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  • Tyre/road noise. Reference book.

    Publication

    - Year 2002

    Książka przedstawia zagadnienia związane z hałasem opon samochodowych poruszających się po nawierzchniach drogowych. Zawiera rozdziały poświęcone budowie opon, budowie nawierzchni drogowych, akustyce, mechanizmom generowania hałasu, wpływie czynników eksploatacyjnych i konstrukcyjnych na hałas opon, metodom pomiarowym, modelowaniu, metodom ograniczania hałasu opon, zagadnieniom prawnym i normalizacyjnym. Jest kompletnym przewodnikiem...

  • Physics augmented classification of fNIRS signals

    Publication
    • F. Orihuela-Espina
    • M. Rojas-Cisneros
    • S. A. Montero-Hernández
    • J. S. Garcia Salinas
    • B. Cuervo-Soto
    • J. Herrera-Vega

    - Year 2022

    Background. Predictive classification favours performance over semantics. In traditional predictive classification pipelines, feature engineering is often oblivious to the underlying phenomena. Hypothesis. In applied domains such as functional Near Infrared Spectroscopy (fNIRS), the exploitation of physical knowledge may improve the discriminative quality of our observation set. Aims. Give exemplary evidence that intervening the...

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  • Book History

    Journals

    ISSN: 1098-7371 , eISSN: 1529-1499

  • BOOK COLLECTOR

    Journals

    ISSN: 0006-7237

  • Book 2.0

    Journals

    ISSN: 2042-8022 , eISSN: 2042-8030

  • Discovering patterns of Web Page Visits from Associaton Rules Viewpoint

    Publication

    The popularity of the Internet results from the almost unlimited resources of information stored in it. At the same time, Internet portals have become a widespread source of information and note very large number of visits. The list of web pages opened by users is stored in web servers' log files. Extraction of knowledge on the navigation paths of users has become carefully analyzed problem. Currently, there are a number of algorithms...

  • Cataloging & Classification Quarterly

    Journals

    ISSN: 0163-9374 , eISSN: 1544-4554

  • Vegetation Classification and Survey

    Journals

    eISSN: 2683-0671

  • Quantitative determination of titin and nebulin in poultry meat by SDS-PAGE with an internal standard

    Publication

    - MEAT SCIENCE - Year 2002

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  • Seabed classification using multibeam echosounder

    Publication

    The method of seabed identification and classification from multibeam sonar echoes is presented. The proposed approach is based on calculation of a set of parameters of an echo envelope, similarly as in seafloor classification using single beam echosounder. These parameters are extracted for each consecutive beam allowing the estimation of their dependence on the seafloor incident angle. The relation between seabed type and calculated...

  • Comparison of selected electroencephalographic signal classification methods

    A variety of methods exists for electroencephalographic (EEG) signals classification. In this paper, we briefly review selected methods developed for such a purpose. First, a short description of the EEG signal characteristics is shown. Then, a comparison between the selected EEG signal classification methods, based on the overview of research studies on this topic, is presented. Examples of methods included in the study are: Artificial...

  • Impact of optimization of ALS point cloud on classification

    Airborne laser scanning (ALS) is one of the LIDAR technologies (Light Detection and Ranging). It provides information about the terrain in form of a point cloud. During measurement is acquired: spatial data (object’s coordinates X, Y, Z) and collateral data such as intensity of reflected signal. The obtained point cloud is typically applied for generating a digital terrain model (DTM) and a digital surface model (DSM). For DTM...

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  • A System for Heart Sounds Classification

    The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases – one of the major causes of death around the globe – a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution. Thanks to the advancement in technology, the quality of phonocardiography signals is no longer an issue. However,...

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  • LEGO bricks for training classification network

    Open Research Data
    version 1.1 open access - series: LEGO

    The data set contains images of 447 different classes of LEGO bricks used for training LEGO bricks classification network. The dataset contains two types of images: photos (10%) and renders (90%) aggregated into respective directories. Each directory (photos and renders) contains 447 directories labeled as the official brick type number. The images...

  • The Hough transform in the classification process of inland ships

    Publication

    This article presents an analysis of the possibilities of using image processing methods for feature extraction that allows kNN classification based on a ship’s image delivered from an on-water video surveillance system. The subject of the analysis is the Hough transform which enables the detection of straight lines in an image. The recognized straight lines and the information about them serve as features in the classification...

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  • Using similar classification tasks in feature extractor learning

    Publication

    - Year 2009

    The article presents and experimentally verify the idea of automatic construction of feature extractors in classification problems. The extractors are created by genetic programming techniques using classification examples taken from other problems then the problem under consideration.

  • Selection of Relevant Features for Text Classification with K-NN

    Publication

    In this paper, we describe five features selection techniques used for a text classification. An information gain, independent significance feature test, chi-squared test, odds ratio test, and frequency filtering have been compared according to the text benchmarks based on Wikipedia. For each method we present the results of classification quality obtained on the test datasets using K-NN based approach. A main advantage of evaluated...

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  • Using multibeam echoes in seafloor characterisation and classification

    Publication

    The method of seabed identification and classification from multibeam sonar echoes is presented. The proposed approach is based on calculation of a set of parameters of an echo envelope, similarly as in seafloor classification using single beam echosounder. These parameters are extracted for each consecutive beam allowing the estimation of their dependence on the seafloor incident angle. The relation between seabed type and calculated...

    Full text available to download

  • Image Classification Based on Video Segments

    Publication

    - Year 2018

    In the dissertation a new method for improving the quality of classifications of images in video streams has been proposed and analyzed. In multiple fields concerning such a classification, the proposed algorithms focus on the analysis of single frames. This class of algorithms has been named OFA (One Frame Analyzed).In the dissertation, small segments of the video are considered and each image is analyzed in the context of its...

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  • Clothes Detection and Classification Using Convolutional Neural Networks

    Publication

    In this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...

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  • Basic Hand Gestures Classification Based on Surface Electromyography

    This paper presents an innovative classification system for hand gestures using 2-channel surface electromyography analysis. The system developed uses the Support Vector Machine classifier, for which the kernel function and parameter optimisation are conducted additionally by the Cuckoo Search swarm algorithm. The system developed is compared with standard Support Vector Machine classifiers with various kernel functions. The average...

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  • Advances in Data Analysis and Classification

    Journals

    ISSN: 1862-5347 , eISSN: 1862-5355

  • An Analysis of Neural Word Representations for Wikipedia Articles Classification

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2019

    One of the current popular methods of generating word representations is an approach based on the analysis of large document collections with neural networks. It creates so-called word-embeddings that attempt to learn relationships between words and encode this information in the form of a low-dimensional vector. The goal of this paper is to examine the differences between the most popular embedding models and the typical bag-of-words...

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  • Automatic Classification of Polish Sign Language Words

    In the article we present the approach to automatic recognition of hand gestures using eGlove device. We present the research results of the system for detection and classification of static and dynamic words of Polish language. The results indicate the usage of eGlove allows to gain good recognition quality that additionally can be improved using additional data sources such as RGB cameras.

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  • Using angular dependence of multibeam echo features in seabed classification

    Publication

    The new approach to seabed classification based on processing multibeam sonar echoes is presented. The multibeam sonars, besides their well verified and widely used applications like high resolution bathymetry measurements or underwater object imaging, are also the promising tool in seafloor identification and classification, having several advantages over conventional single beam echosounders. The proposed seabed classification...

  • How to Sort Them? A Network for LEGO Bricks Classification

    Publication

    LEGO bricks are highly popular due to the ability to build almost any type of creation. This is possible thanks to availability of multiple shapes and colors of the bricks. For the smooth build process the bricks need to properly sorted and arranged. In our work we aim at creating an automated LEGO bricks sorter. With over 3700 different LEGO parts bricks classification has to be done with deep neural networks. The question arises...

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  • 41st European Group for Atomic Systems Conference Book of Abstracts

    Publication

    - Year 2009

  • Organizacja przepływu jednej sztuki w gnieździe (e-book)

    Publication

    - Year 2013

  • Classification of Music Genres by Means of Listening Tests and Decision Algorithms

    The paper compares the results of audio excerpt assignment to a music genre obtained in listening tests and classification by means of decision algorithms. A short review on music description employing music styles and genres is given. Then, assumptions of listening tests to be carried out along with an online survey for assigning audio samples to selected music genres are presented. A framework for music parametrization is created...

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  • AMERICAN BOOK REVIEW

    Journals

    ISSN: 0149-9408 , eISSN: 2153-4578

  • International Journal of the Book

    Journals

    ISSN: 1447-9516

  • Endoscopic Video Classification with the Consideration of Temporal Patterns

    The article describes a novel approach to automatic recognition and classification of diseases in endoscopic videos. Current directions of research in this field are discussed. Most presented methods focus on processing single frames and do not take into consideration the temporal relationship between continuous classifications. Existing approaches that consider the temporal structure of an incoming frame sequence are focused on...

  • Behavioral state classification in epileptic brain using intracranial electrophysiology

    Publication
    • V. Kremen
    • J. J. Duque
    • B. Brinkmann
    • B. M. Berry
    • M. T. Kucewicz
    • F. Khadjevand
    • J. Van Gompel
    • M. Stead
    • E. K. ST.Louis
    • G. A. Worrell

    - Journal of Neural Engineering - Year 2017

    OBJECTIVE: Automated behavioral state classification can benefit next generation implantable epilepsy devices. In this study we explored the feasibility of automated awake (AW) and slow wave sleep (SWS) classification using wide bandwidth intracranial EEG (iEEG) in patients undergoing evaluation for epilepsy surgery. APPROACH: Data from seven patients (age [Formula: see text], 4 women) who underwent intracranial depth electrode...

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