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Wyniki wyszukiwania dla: neural information retrieval

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Wyniki wyszukiwania dla: neural information retrieval

  • The Development of a Conceptual Framework for Knowledge Sharing in Agile IT Projects

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2022

    Organizations must adapt their resources to meet the challenges associated with changes in the work environment in order to remain competitive in the information era. Several research findings identify knowledge sharing as a means for an organization to improve its competitiveness. Knowledge sharing can be defined in a variety of ways, but it essentially refers to the exchange of knowledge from an information giver to an information...

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  • Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study

    Publikacja

    Plain weave composite is a long-lasting type of fabric composite that is stable enough when being handled. Open-hole composites have been widely used in industry, though they have weak structural performance and complex design processes. An extensive number of material/geometry parameters have been utilized for designing these composites, thereby an efficient computational tool is essential for that purpose. Different Machine Learning...

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  • BETWEEN IDEA AND INTERPRETATION - DESIGN PROCESS AUGMENTATION

    Publikacja

    - Rok 2018

    The following paper investigates the idea of reducing the human digital intervention to a minimum during the advanced design process. Augmenting the outcome attributes beyond the designer's capabilities by computational design methods, data collection, data computing and digital fabrication, altogether imitating the human design process. The primary technical goal of the research was verification of restrictions and abilities used...

  • Automatic Analysis of Trajectories of Moving Objects

    Publikacja

    Ongoing monitoring is essential to providing security and safety of maritime and air operations. This paper presents the research in the area of automatic analysis of movement of unrestricted vehicles like ships and air-planes. The analysis is aimed at extraction of trajectory information, and the results can be used to identify anomalous behaviour in archived and real-time data. In this paper we focus on data acquired using the...

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  • Gaze tracking in multi-display environment

    Publikacja

    - Rok 2013

    This paper presents the basic ideas of eye and gaze tracking in multiple-display environment. The algorithm for display detection and identification is described as well as the rules for gaze interaction in multi display environment. The core of the method is to use special LED markers and eye and scene tracking glasses. Scene tracking camera registers markers position which is then represented as a cloud of points. Analyzing the...

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  • As- built inventory of the office building with the use of terrestrial laser scanning

    Terrestrial Laser Scanning (TLS) is an efficient tool for building inventories. Based on the red- laser beam technology it is possible to provide the high accuracy data with complete spatial information about a scanned object. In this article, authors present the solution of use a TLS in as-built inventory of the office building. Based on the provided data, it is possible to evaluate the correctness of built details of a building...

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  • Organomercury compounds in environmental samples: emission sources, toxicity, environmental fate and determination.

    In view of the specific properties of mercury and its capability of forming compounds that can be bioaccumulated and biomagnified at successive levels of the trophic pyramid, it has become necessary to gather detailed information on the sources of emission of this element into the environment and its fate there. Moreover, the increasing awareness of the relationship between the toxicity of mercury and its chemical form has sharpened...

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  • Application of Web-GIS and Geovisual Analytics to Monitoring of Seabed Evolution in South Baltic Sea Coastal Areas

    Publikacja

    Regular surveys of coastal zone seabed deliver important information about geomorphologic processes such as silting of waterways. The recent introduction of the Sentinel series of sensors has allowed for the use of satellite sensing for shallow bathymetry morphology monitoring. In this context, this article presents a dedicated Geographic Information System for Baltic Sea shallow water depth monitoring on the basis of Sentinel-2...

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  • The Influence of Cooperation on the Operation of an MPC Controller Pair in a Nuclear Power Plant Turbine Generator Set

    Publikacja

    - ENERGIES - Rok 2022

    The paper discusses the problem of cooperation between multiple model predictive control (MPC) systems. This approach aims at improving the control quality in electrical energy generation and forms the next step in a series of publications by the authors focusing on the optimization and control of electric power systems. Cooperation and cooperative object concepts in relation to a multi MPC system are defined and a cooperative control...

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  • Blurred quantum Darwinism across quantum reference frames

    Publikacja

    Quantum Darwinism describes objectivity of quantum systems via their correlations with their environment--information that hypothetical observers can recover by measuring the environments. However, observations are done with respect to a frame of reference. Here, we take the formalism of [Giacomini, Castro-Ruiz, & Brukner. Nat Commun 10, 494 (2019)], and consider the repercussions on objectivity when changing quantum reference...

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  • Evaluation of the structures size in the liquid-gas flow by gamma-ray absorption

    Publikacja
    • M. Zych
    • R. Hanus
    • M. Jaszczur
    • D. Świsulski
    • L. Petryka
    • P. Jodłowski
    • P. Zych

    - EPJ Web of Conferences - Rok 2018

    The rapid development of tomography methods particularly electrical, X and gamma rays allows for a wide range of the information about flow structure. However, all of such methods are quite complicated. At the same time much simpler systems as the measuring system of gamma rays absorption, allows to obtain a all key flow information which describe the two-phase flow. In the article the results of analyzes of radiometric signal...

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  • VISUALIZATION OF SCANTER AND ARPA RADAR DATA IN THE DISTRIBUTED TELEINFORMATION SYSTEM FOR THE BORDER GUARD

    Monitoring of country maritime border is an important task of the Border Guard. This activity can be enhanced with the use of the technology enabling gathering information from distributed sources, processing of that information and its visualization. The paper presents the next stage of development of the STRADAR project (Streaming of real-time data transmission in distributed dispatching and teleinformation systems of the Border...

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  • TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads

    TensorHive is a tool for organizing work of research and engineering teams that use servers with GPUs for machine learning workloads. In a comprehensive web interface, it supports reservation of GPUs for exclusive usage, hardware monitoring, as well as configuring, executing and queuing distributed computational jobs. Focusing on easy installation and simple configuration, the tool automatically detects the available computing...

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  • Architektury klasyfikatorów obrazów

    Publikacja

    - Rok 2022

    Klasyfikacja obrazów jest zagadnieniem z dziedziny widzenia komputerowego. Polega na całościowej analizie obrazu i przypisaniu go do jednej lub wielu kategorii (klas). Współczesne rozwiązania tego problemu są w znacznej części realizowane z wykorzystaniem konwolucyjnych głębokich sieci neuronowych (convolutional neural network, CNN). W tym rozdziale opisano przełomowe architektury CNN oraz ewolucję state-of-the-art w klasyfikacji...

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  • Analysis of Denoising Autoencoder Properties Through Misspelling Correction Task

    Publikacja

    The paper analyzes some properties of denoising autoencoders using the problem of misspellings correction as an exemplary task. We evaluate the capacity of the network in its classical feed-forward form. We also propose a modification to the output layer of the net, which we called multi-softmax. Experiments show that the model trained with this output layer outperforms traditional network both in learning time and accuracy. We...

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  • Examining Classifiers Applied to Static Hand Gesture Recognition in Novel Sound Mixing System

    The main objective of the chapter is to present the methodology and results of examining various classifiers (Nearest Neighbor-like algorithm with non-nested generalization (NNge), Naive Bayes, C4.5 (J48), Random Tree, Random Forests, Artificial Neural Networks (Multilayer Perceptron), Support Vector Machine (SVM) used for static gesture recognition. A problem of effective gesture recognition is outlined in the context of the system...

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  • Application of ANN and PCA to two-phase flow evaluation using radioisotopes

    Publikacja

    - EPJ Web of Conferences - Rok 2017

    In the two-phase flow measurements a method involving the absorption of gamma radiation can be applied among others. Analysis of the signals from the scintillation probes can be used to determine the number of flow parameters and to recognize flow structure. Three types of flow regimes as plug, bubble, and transitional plug – bubble flows were considered in this work. The article shows how features of the signals in the time and...

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  • Intelligent Autonomous Robot Supporting Small Pets in Domestic Environment

    In this contribution, we present preliminary results of the student project aimed at the development of an intelligent autonomous robot supporting small pets in a domestic environment. The main task of this robot is to protect a freely moving small pets against accidental stepping on them by home residents. For this purpose, we have developed the mobile robot which follows a pet and makes an alarm signal when a human is approaching....

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  • Agents in Simulation of Cyberattacks to Evaluate Security of Critical Infrastructures

    Publikacja

    - Rok 2013

    In the last years critical infrastructures have become highly dependent on the information technologies and exposed to cyberattacks. Because the effects of the attacks can be detrimental, it is crucial to comprehensively asses the security of the infrastructures' information systems. This chapter describes MAlSim - the simulator of malicious software based on software agents, developed for the needs of a testbed for critical infrastructures...

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  • Stanowisko wizualizacji zdarzeń w systemie STRADAR – realizacja i funkcje dla operatora

    It is crucial for the Border Guard to be equipped with a communication-teleinformatic infrastructure designed to support them in efficient realization of their operational tasks. STRADAR – a system which results are presented in this paper – is such an infrastructure. It is a distributed solution for the maritime division of the border guard. The system, with the use of a network of sensors located in both stationary and mobile...

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  • Yerba Mate - A Long but Current History

    Publikacja

    Bearing in mind the growing interest in Yerba Mate, a comprehensive study has been prepared containing the most important aspects and possibilities of its use. The introduction of the work contains the species characteristics of Yerba Mate, as well as information about the origin and places of cultivation. The next part focuses on the analysis of the composition, pointing to purine alkaloids, polyphenols, saponins, and minerals...

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  • ON EGNOS MONITORING IN LOCAL CONDITIONS

    Any SBAS system should deliver to the user corrections to pseudoranges as well as information about the system integrity. In theory, as soon as the system is permanently monitored by RIMS stations, it is impossible to deliver the fault information to the user. However many observations shows that accuracy of EGNOS service in the same time are different in different places, which shows the influence of local conditions on them....

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  • System informacji przestrzennej dla morskich rejonów przybrzeżnych. Logistyka i obronność.

    Publikacja

    - Logistyka - Rok 2014

    Autorzy wskazują na możliwość poprawienia jakości zarządzania decyzjami oraz dowodzeniem na wypadek działań wojennych lub wypadków morskich poprzez jednoznaczne i metodyczne połączenie cyfrowych map morskich wykonanych w standardzie ENC/S-57 i DNC/VPF oraz danych z zasobu geodezyjnego dotyczącego obszaru lądowego. Aktualnie nie funkcjonuje w Polsce system informacji przestrzennej obejmujący polskie wybrzeże, który mógłby zostać...

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  • Security Assessment of a Turbo-Gas Power Plant

    Publikacja

    - Rok 2009

    Critical infrastructures are exposed to new threats due to the large number of vulnerabilities and architectural weaknesses introduced by the extensive use of information and communication technologies. This paper presents the results of an exhaustive security assessment for a turbo-gas power plant.

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  • Merging Images From Parallel Depth Cameras

    Publikacja

    - Rok 2012

    In this paper a problem of simultaneous information acquisition from multiple depth cameras is investigated, aiming at obtaining single overall picture containing information from all cameras. The experiments are carried out on Microsoft Kinect devices. A methodology for merging images from multiple positioned in a line cameras is proposed. The method is based on the concept of simulating a view of an imaginary camera covering...

  • Integration of heterogeneous web services in exceptional situations

    Web services are intended to enable interoperability between heterogeneous distributed systems. Although the technology has been widely adopted and accepted, there are still differences between runtime platforms in exception structure and handling. This results in difficulties in effective handling of exceptions during Web services invocation. The paper presents a solution that enables coordinated exception handling between different...

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  • Merging Images from Parallel Depth Cameras

    In this paper a problem of simultaneous information acquisition from multiple depth cameras is investigated, aiming at obtaining single overall picture containing information from all cameras. The experiments are carried out on Microsoft Kinect devices. A methodology for merging images from multiple positioned in a line cameras is proposed. The method is based on the concept of simulating a view of an imaginary camera covering...

  • The Conception of Decision-Making Support System for ComplexEnergetic System on Example of Ship Propulsion System

    Publikacja

    In paper, the conception of decision-making support system for complex energetic system on example of ship propulsion system has been presented. Diversity of conditions, information overload and very often contradiction of decision-making criteria and time constraints result in difficulties in making right (rational) decision without using more or less expanded information processing systems (eg. database systems, expert systems,...

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  • Building Project and Project Team Characteristics For Creating Hybrid Management Processes

    Publikacja
    • C. Orłowski
    • T. Deręgowski
    • M. Kurzawski
    • A. Ziółkowski
    • B. Chrabski

    - Rok 2016

    This paper introduces a method of building the characteristic of Software Development Project. Project characteristic is determined on the basis of several factors such as the complexity of Software Development Project and Project Team, results of historical projects and information on processes and methodologies, which are implemented in analyzed organizations. Information on project complexity can be applied to many different...

  • Analysis of the objects images on the sea using Dempster-Shafer Theory

    Publikacja

    - Rok 2016

    The paper presents the concept of using aerial and satellite imagery or images coming from the marine radar to identify and track vessels at sea. The acquired data were subjected to a highly advanced image analysis. The development of remote sensing techniques allows to gain a huge amount of data. These data are useful information source however usually we have to use different data mining methods to gain interested information....

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  • Determining and verifying the safety integrity level with security aspects

    Publikacja

    Safety and security aspects consist of two different group of functional requirements for the control and protection systems. It is the reason why the analyses of safety and security shouldnt be integrated directly. The paper proposes extension of the currently used methods of functional safety analyses. It can be done with inclusion of the level of information security assigned to the technical system. The article addresses some...

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  • Implementation of International Standards of Fiscal and Monetary Transparency - Case of Poland

    Publikacja

    - Rok 2021

    Research background: Financial managers, investors, lenders, counterparties and citizens should have useful, reliable, timely, complete, comparable, readable information on fiscal and monetary policy. The actions taken and instruments used by fiscal and monetary authorities have an important impact on economic conditions. Purpose of the article: The aim of the article is to assess Poland's compliance with international standards...

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  • Quality of Satellite Communication in Selected Mobile Android Smartphones

    Today, thanks to mobile devices, satellite communication is available to anyone and everywhere. Gaining information on one’s position using GNSS (Global Navigation Satellite Systems), particularly in unknown urban environments, had become an everyday activity. With the widespread of mobile devices, particularly smartphones, each person can obtain information considering his or her location anytime and everywhere. This paper is...

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  • Knowledge Flows in Cluster Organizations

    Publikacja

    - Rok 2019

    This paper aims to identify knowledge flows in cluster organizations (COs). On the basis of a literature analysis on knowledge flows and cluster organizations, the following research question was formulated: What kind of knowledge flows can be identified in cluster organizations and what is their main characteristics? The paper is based on a literature analysis and Grounded Theory methodology, examining four purposefully selected...

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  • MACHINE LEARNING APPLICATIONS IN RECOGNIZING HUMAN EMOTIONS BASED ON THE EEG

    Publikacja
    • A. Kastrau
    • M. Koronowski
    • M. Liksza
    • P. Jasik

    - Rok 2021

    This study examined the machine learning-based approach allowing the recognition of human emotional states with the use of EEG signals. After a short introduction to the fundamentals of electroencephalography and neural oscillations, the two-dimensional valence-arousal Russell’s model of emotion was described. Next, we present the assumptions of the performed EEG experiment. Detail aspects of the data sanitization including preprocessing,...

  • Road traffic can be predicted by machine learning equally effectively as by complex microscopic model

    Since high-quality real data acquired from selected road sections are not always available, a traffic control solution can use data from software traffic simulators working offline. The results show that in contrast to microscopic traffic simulation, the algorithms employing neural networks can work in real-time, so they can be used, among others, to determine the speed displayed on variable message road signs. This paper describes...

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  • Expert systems in assessing the construction process safety taking account of the risk of disturbances

    The objective of the paper is to present the issue of safety manage-ment during the construction process. Threats in the form of disturb-ances may occur in the preparatory phase, during the execution of the construction project and also during its operational use. The arti-cle presents the concept of applying the methodology based, among others, on Learning Bayesian Networks, Artificial Neural Networks and Support Vector Machine,...

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  • Machine Learning in Multi-Agent Systems using Associative Arrays

    Publikacja

    - PARALLEL COMPUTING - Rok 2018

    In this paper, a new machine learning algorithm for multi-agent systems is introduced. The algorithm is based on associative arrays, thus it becomes less complex and more efficient substitute of artificial neural networks and Bayesian networks, which is confirmed by performance measurements. Implementation of machine learning algorithm in multi-agent system for aided design of selected control systems allowed to improve the performance...

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  • Data Compression in Ultrasonic Network Communication via Sparse Signal Processing

    Publikacja
    • B. Zima
    • O. Reyes Márquez
    • M. Mohammadgholiha
    • J. Moll
    • L. Marchi De

    - Rok 2022

    This document presents the approach of using compressed sensing in signal encoding and information transferring within a guided wave sensor network, comprised of specially designed frequency steerable acoustic transducers (FSATs). Wave propagation in a damaged plate was simulated using commercial FEM-based software COMSOL. Guided waves were excited by means of FSATs, characterized by the special shape of its electrodes, and modeled...

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  • SiMiSnoRNA: Collection of siRNA, miRNA, and snoRNA database for RNA Interference

    Objective:The discovery of sequence specific gene silencing which occurs due to the presence of double-stranded RNAs has considerable impact on biology, revealing an unknown level of regulation of gene expression. This process is known as RNA interference (RNAi) or RNA silencing in which RNA molecules inhibit gene expression, typically by causing the destruction of specific mRNA molecule. Two types of small RNA molecules - small...

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  • Does technology matter for economic development? Empirical evidence for Latin American Countries

    Publikacja

    - Rok 2014

    The spread of new Information and Communication Technologies (ICTs) has been recognized worldwide. ICTs are broadly perceived as tools facilitating economic growth and development, especially in backward countries. They are easy and cheap to adopt, require minimum skills for effective use, and bring opportunities for disadvantaged societies. They enable education, knowledge dissemination and sharing, and processing and storing...

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  • Education Towards The Use Of BIM On The Example Of Polish Universities

    BIM (Building Information Modeling) has been one of the rapidly developing fields of digital techniques supporting the realization of construction projects in recent years. Further development, and especially the use of these techniques, depends to a large extent on the qualifications of young construction engineers who start their professional careers in this field. The article attempts to synthetically list and compare subjects,...

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  • Reshaping financial systems: The role of ICT in the diffusion of financial innovations – Recent evidence from European countries

    Exchange-traded funds (ETFs) are among the fastest-growing types of innovative financial products. The emergence and spread of these instruments have been facilitated by the digital revolution. Information and communication technology (ICT) is profoundly reshaping the global economic landscape, laying solid foundations for unrestricted and unbounded flows of information and knowledge, eliminating information asymmetries, and furthering...

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  • Dissecting gamma frequency activities during human memory processing

    Publikacja
    • M. T. Kucewicz
    • B. M. Berry
    • V. Kremen
    • B. H. Brinkmann
    • M. R. Sperling
    • B. C. Jobst
    • R. E. Gross
    • B. Lega
    • S. A. Sheth
    • J. M. Stein... i 6 innych

    - Brain: A Journal of Neurology - Rok 2017

    Gamma frequency activity (30-150 Hz) is induced in cognitive tasks and is thought to reflect underlying neural processes. Gamma frequency activity can be recorded directly from the human brain using intracranial electrodes implanted in patients undergoing treatment for drug-resistant epilepsy. Previous studies have independently explored narrowband oscillations in the local field potential and broadband power increases. It is not...

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  • Consistency of Quantum Computation and the Equivalence Principle.

    Publikacja

    The equivalence principle, being one of the building blocks of general relativity, seems to be crucial for analysis of quantum effects in gravity. In this paper we consider the relation between the equivalence principle and the consistency of quantum information processing in gravitational field. We propose an analysis with a looped evolution consisting of steps both in the gravitational field and in the accelerated reference frame....

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  • Framework for Product Innovation Using SOEKS and Decisional DNA

    Publikacja

    - Rok 2016

    Product innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process of humans. The genetic information of humans is stored in genes, chromosomes and DNA. Similarly, the information about the products can be stored in a system having virtual genes, chromosomes and decisional DNA. The present paper proposes a framework for...

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  • Decisional DNA and Optimization Problem

    Publikacja

    - Rok 2013

    Many researchers have proved that Decisional DNA (DDNA) and Set of Experience Knowledge Structure (SOEKS or SOE) is a technology capable of gathering information and converting it into knowledge to help decision-makers to make precise decisions in many ways. These techniques have a feature to combine with different tools, such as data mining techniques and web crawlers, helping organization collect information from different sources...

  • Scene Segmentation Basing on Color and Depth Images for Kinect Sensor

    Publikacja

    In this paper we propose a method for segmenting single images from Kinect sensor by considering both color and depth information. The algorithm is based on a series of edge detection procedures designed for particular features of the scene objects. RGB and HSV color planes are separately analyzed in the first step with Canny edge detector, resulting in overall color edges mask. In depth images both clear boundaries and smooth...

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

    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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  • Discovering patterns of Web Page Visits from Associaton Rules Viewpoint

    Publikacja

    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...