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Wyniki wyszukiwania dla: memory and cognition

  • Individual Characteristics and Cognitions of Students with Different Levels of Entrepreneurial Intensity

    Publikacja

    RESEARCH OBJECTIVE: The objective of the current paper is to verify in what way university students who declare high individual level of entrepreneurial intensity differ from those who are characterized by its intensity level. THE RESEARCH PROBLEM AND METHODS: A statistical analysis of obtained survey results was conducted. The group of research participants included 413 business students. Following statistical methods were used...

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  • Subclinical Mood and Cognition Impairments and Blood Pressure Control in a Large Cohort of Elderly Hypertensives

    Publikacja
    • K. Piotrowicz
    • A. Prejbisz
    • M. Klocek
    • R. Topór-Mądry
    • P. Szczepaniak
    • K. Kawecka-Jaszcz
    • K. Narkiewicz
    • T. Grodzicki
    • A. Januszewicz
    • J. Gąsowski

    - Journal of the American Medical Directors Association - Rok 2016

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  • Pathological brain network activity: memory impairment in epilepsy

    Publikacja

    - NEUROLOGY - Rok 2013

    Our thinking, memory and cognition in general, relies upon precisely timed interactions among neurons forming brain networks that support cognitive processes. The surgical evaluation of drug-resistant epilepsy using intracranial electrodes provides a unique opportunity to record directly from human brain and to investigate the coordinated activity of cognitive networks. In this issue of Neurology®, Kleen and colleagues1 implicate...

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  • EXPERIMENTAL EVALUATION OF THE EMISSIVITY OF A NITI SHAPE MEMORY ALLOY

    Publikacja

    - Rok 2015

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  • Semantic memory knowledge acquisition through active dialogues

    Publikacja

    - Rok 2007

    Szereg zagadnień językowych nie może zostać rozwiązany bez pamięci semantycznej zawierającej opisy cech obiektów, Automatyczne tworzenie tego rodzaju pamięci jest wielkim wyzwaniem nawet dla prostych obszarów dziedzinowych. Implementacja pamięci semantycznej opartej na reprezentacji wiedzy poprzez powiązania obiektu z jego cechami pokazuje ciekawe zastosowania które nie zostały dotychczas zademonstrowane poprzez bardziej wyszukane...

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  • Knowledge representation and acquisition for large-scale semantic memory

    Publikacja

    - Rok 2008

    Pozyskiwanie i reprezentacja pojęć jest koniecznym warunkiem doimplementacji rozumienia w systemach kognitywnych.Gry słowne są dają interesujące możliwości pozyskiwaniawiedzy do komputerowego modelu pamięci semantycznej. W artykuleprzedstawiono podstawy architektury pamięci semantycznej orazwyniki działającego na niej algorytmu wyszukiwania kontekstowego,który użyty został do realizacji gry w 20 pytań.

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  • Intelligent microbearing project with memory of stress-strain history

    Taking into account the increasing need of intelligent micro-bearing with memory, this paper presents the optimization, simulation and practical application of operating parameters(load carrying capacity, friction forces, friction coefficient, wear), simulation for hydrodynamic HDD micro-bearing with curvilinear nano-grooved journal profile. One of the reason of such journal profile is that this journal profile contributes to the...

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  • Underwater robot actuated by shape memory alloy wires

    Publikacja

    - Rok 2006

    W pracy przedstawiono koncepcję projektu robota podwodnego z napędem wykorzystującym materiały SMA ze stopów z pamięcią kształtu. Rozpatrywany układ ma budowę modułową złożoną z segmentów na podobieństwo do anatomicznej budowy dżdżownicy. Pojedyńczy segment składa się z dwóch okrągłych tarcz, pomiędzy którymi umieszczono balon wypełniony wodą. Wielkość balonu jest dopasowana w taki sposób do rozmiarów tarcz oraz długości sprężyn...

  • Application of Shape Memory Alloys in Pipeline Couplings for Shipbuilding

    Publikacja

    The aim of the study is to analyse shape memory alloy (SMA) pipeline joints in limited space applications for all kinds of ships. Generally, the space available in various areas on ships is strictly limited and service works usually meet many obstacles. If we consider a pipeline, the flange joints always require a larger free space around the pipe than the pipe alone. A simultaneous problem can occur with the propeller shaft line...

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  • Proximal primal–dual best approximation algorithm with memory

    Publikacja

    - COMPUTATIONAL OPTIMIZATION AND APPLICATIONS - Rok 2018

    We propose a new modified primal–dual proximal best approximation method for solving convex not necessarily differentiable optimization problems. The novelty of the method relies on introducing memory by taking into account iterates computed in previous steps in the formulas defining current iterate. To this end we consider projections onto intersections of halfspaces generated on the basis of the current as well as the previous...

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  • Investigating Feature Spaces for Isolated Word Recognition

    Publikacja

    - Rok 2018

    Much attention is given by researchers to the speech processing task in automatic speech recognition (ASR) over the past decades. The study addresses the issue related to the investigation of the appropriateness of a two-dimensional representation of speech feature spaces for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and timefrequency signal representation...

  • Emergency condition of the ceramic facade of a residential building

    The paper presents a description of the technical condition of the ceramic cladding of a residential building, the technical condition of which deteriorated significantly after only a few years of operation. The analysis of the influence of the applied design and working solutions on the façade failure frequency was analyzed. The article presents a conceptual solution to bring the building to the proper technical condition in terms...

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  • Adversarial attack algorithm for traffic sign recognition

    Publikacja

    - MULTIMEDIA TOOLS AND APPLICATIONS - Rok 2022

    Deep learning suffers from the threat of adversarial attacks, and its defense methods have become a research hotspot. In all applications of deep learning, intelligent driving is an important and promising one, facing serious threat of adversarial attack in the meanwhile. To address the adversarial attack, this paper takes the traffic sign recognition as a typical object, for it is the core function of intelligent driving. Considering...

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  • Feature extraction in detection and recognition of graphical objects

    Publikacja

    - Rok 2022

    Detection and recognition of graphic objects in images are of great and growing importance in many areas, such as medical and industrial diagnostics, control systems in automation and robotics, or various types of security systems, including biometric security systems related to the recognition of the face or iris of the eye. In addition, there are all systems that facilitate the personal life of the blind people, visually impaired...

  • Interactive cognitive-behavioural decision making system

    Praca przedstawia wyniki przekształcenia modelu psychologicznego człowieka w interaktywny, poznawczo-behawioralny, system podejmowania decyzji, uwarunkowany zarówno środowiskowo, jak i ze względu na stany spełnienia założonych potrzeb. Model ludzkiej psychologii oparty jest na psychologii poznawczej i psychologii osobowości. Zawiera on emocje, potrzeby i struktury ludzkich procesów poznawczych. Opracowany model i sposób realizacji...

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  • Recognition, understanding and aestheticization of freehand drawing flowcharts

    Publikacja

    - Rok 2007

    In this paper a concept of FCA, a system for recognizing, understanding and aestheticization of freehand drawing flow charts is described. The system is based on a proposed by the author FlowGram graph grammar describing flow charts drawing. An open format FlowChartML for flow charts description is also proposed. The aestheticization criterion is formulated that allows for automatic beautification of flow charts. First experiments...

  • Cognitive impairment and dementia - problems of geriatric physiotherapy

    Publikacja

    - Fizjoterapia - Rok 2010

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  • Cognitive Dysfunction in Type 1 Diabetes Mellitus

    Publikacja
    • A. Shalimova
    • B. Graff
    • D. Gąsecki
    • J. Wolf
    • A. Sabisz
    • E. Szurowska
    • K. Jodzio
    • K. Narkiewicz

    - JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM - Rok 2019

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  • Vowel recognition based on acoustic and visual features

    W artykule zaprezentowano metodę, która może ułatwić naukę mowy dla osób z wadami słuchu. Opracowany system rozpoznawania samogłosek wykorzystuje łączną analizę parametrów akustycznych i wizualnych sygnału mowy. Parametry akustyczne bazują na współczynnikach mel-cepstralnych. Do wyznaczenia parametrów wizualnych z kształtu i ruchu ust zastosowano Active Shape Models. Jako klasyfikator użyto sztuczną sieć neuronową. Działanie systemu...

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  • Active monitoring as cognitive control of grinders design

    Publikacja

    - Rok 2017

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  • Emotion Recognition Based on Facial Expressions of Gamers

    This article presents an approach to emotion recognition based on facial expressions of gamers. With application of certain methods crucial features of an analyzed face like eyebrows' shape, eyes and mouth width, height were extracted. Afterwards a group of artificial intelligence methods was applied to classify a given feature set as one of the following emotions: happiness, sadness, anger and fear. The approach presented in this...

  • Emotion Recognition Based on Facial Expressions of Gamers

    Publikacja

    This article presents an approach to emotion recognition based on facial expressions of gamers. With application of certain methods crucial features of an analysed face like eyebrows' shape, eyes and mouth width, height were extracted. Afterwards a group of artificial intelligence methods was applied to classify a given feature set as one of the following emotions: happiness, sadness, anger and fear.The approach presented in this...

  • Dependable Integration of Medical Image Recognition Components

    Computer driven medical image recognition may support medical doctors in the diagnosis process, but requires high dependability considering potential consequences of incorrect results. The paper presentsa system that improves dependability of medical image recognition by integration of results from redundant components. The components implement alternative recognition algorithms of diseases in thefield of gastrointestinal endoscopy....

  • Emotion recognition and its application in software engineering

    In this paper a novel application of multimodal emotion recognition algorithms in software engineering is described. Several application scenarios are proposed concerning program usability testing and software process improvement. Also a set of emotional states relevant in that application area is identified. The multimodal emotion recognition method that integrates video and depth channels, physiological signals and input devices...

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  • Multimodal English corpus for automatic speech recognition

    A multimodal corpus developed for research of speech recognition based on audio-visual data is presented. Besides usual video and sound excerpts, the prepared database contains also thermovision images and depth maps. All streams were recorded simultaneously, therefore the corpus enables to examine the importance of the information provided by different modalities. Based on the recordings, it is also possible to develop a speech...

  • Multimodal Audio-Visual Recognition of Traffic Events

    Przedstawiono demonstrator systemu wykrywania niebezpiecznych zdarzeń w ruchu drogowym oparty na jednoczesnej analizie danych wizyjnych i akustycznych. System jest częścią systemu automatycznego nadzoru bezpieczeństwa. Wykorzystuje on kamery i mikrofony jako źródła danych. Przedstawiono wykorzystane algorytmy - algorytmy rozpoznawania zdarzeń dźwiękowych oraz analizy obrazu. Zaprezentowano wyniki działania algorytmów na przykładzie...

  • Influence of Property Division on the Technical Condition of a Building

    Publikacja

    In this article, the correlation between a technical condition of a building and property division is analyzed and assessed. In the course of the usage of a building, the process of its degradation and the increase in the demands of property occupants can be observed. There is a direct connection between the difficult technical condition of a building and the fragmentation of the ownership structure. Although not considered in...

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  • Facial emotion recognition using depth data

    Publikacja

    - Rok 2015

    In this paper an original approach is presented for facial expression and emotion recognition based only on depth channel from Microsoft Kinect sensor. The emotional user model contains nine emotions including the neutral one. The proposed recognition algorithm uses local movements detection within the face area in order to recognize actual facial expression. This approach has been validated on Facial Expressions and Emotions Database...

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  • Topology recognition and leader election in colored networks

    Publikacja

    Topology recognition and leader election are fundamental tasks in distributed computing in networks. The first of them requires each node to find a labeled isomorphic copy of the network, while the result of the second one consists in a single node adopting the label 1 (leader), with all other nodes adopting the label 0 and learning a path to the leader. We consider both these problems in networks whose nodes are equipped with...

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  • Rough Sets Applied to Mood of Music Recognition

    Publikacja

    With the growth of accessible digital music libraries over the past decade, there is a need for research into automated systems for searching, organizing and recommending music. Mood of music is considered as one of the most intuitive criteria for listeners, thus this work is focused on the emotional content of music and its automatic recognition. The research study presented in this work contains an attempt to music emotion recognition...

  • Emotion Recognition for Affect Aware Video Games

    In this paper the idea of affect aware video games is presented. A brief review of automatic multimodal affect recognition of facial expressions and emotions is given. The first result of emotions recognition using depth data as well as prototype affect aware video game are presented

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  • Investigating Feature Spaces for Isolated Word Recognition

    Publikacja
    • P. Treigys
    • G. Korvel
    • G. Tamulevicius
    • J. Bernataviciene
    • B. Kostek

    - Rok 2020

    The study addresses the issues related to the appropriateness of a two-dimensional representation of speech signal for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and...

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  • Emergency condition of the ceramic facade of a residential building

    Publikacja

    The paper presents a description of the technical condition of the ceramic cladding of a residential building, the technical condition of which deteriorated significantly after only a few years of operation. The analysis of the influence of the applied design and working solutions on the façade failure frequency was analyzed. The article presents a conceptual solution to bring the building to the proper technical condition in terms...

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  • Acylic congener of cucurbituril: synthesis and recognition properties.

    Publikacja
    • C. A. Burnett
    • D. Witt
    • J. C. Fettinger
    • L. Isaacs

    - Asian Journal of Organic Chemistry - Rok 2003

    Zaprezentowano syntezę analogów acyklicznych cucurbiturilu oraz ich zdolności do kompleksowania wybranych 16 amin, dioli, kwasów dikarboksylowych, pochodnych guanidyny oraz pirydyny. Obserwowane tworzenie kompleksów przebiegało około 180 razy słabiej niż dla cucurbiturilu. Wyniki te świadczą o potencjalnych możliwościach zbliżonych do analogów cyklicznych pod względem tworzenia kompleksów i rozpoznawania wyżej wymienionych...

  • Gazetteer compression technique based on substructure recognition

    Publikacja

    - Rok 2006

    Automaty skończone są najlepszą formą reprezentacji słowników do przetwarzania języka naturalnego. Przedstawiamy nową technikę kompresji, która jest szczególnie użyteczna w stosunku do pewnego rodzaju słowników. Zastępujemy wielokrotnie występujące podstruktury ich niepowtarzalnymi reprezentantami. Do ich znalezienia traktujemy wektor przejść jako tekst i stosujemy technikę kompresji tekstu w stylu Ziv-Lempel, która znajduje powtórzenia...

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  • The Double Cognitive Bias of Mistakes: A Measurement Method

    Publikacja

    - Rok 2023

    There is no learning without mistakes. However, making mistakes among knowledge workers is s�ll seeing shameful. There is a clash between posi�ve a�tudes and beliefs regarding the power of gaining new (tacit) knowledge by ac�ng in new contexts and nega�ve a�tudes and beliefs toward accompanying mistakes that are sources of learning. These contradictory a�tudes create a bias that is doubled by the other shared solid belief...

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  • Speech recognition system for hearing impaired people.

    Publikacja

    - Rok 2005

    Praca przedstawia wyniki badań z zakresu rozpoznawania mowy. Tworzony system wykorzystujący dane wizualne i akustyczne będzie ułatwiał trening poprawnego mówienia dla osób po operacji transplantacji ślimaka i innych osób wykazujących poważne uszkodzenia słuchu. Active Shape models zostały wykorzystane do wyznaczania parametrów wizualnych na podstawie analizy kształtu i ruchu ust w nagraniach wideo. Parametry akustyczne bazują na...

  • The Effectiveness of Computerized Cognitive Training Combined With Whole Body Cryotherapy in Improving Cognitive Functions in Older Adults. A Case Control Study

    Publikacja

    - Frontiers in Psychiatry - Rok 2021

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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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  • Pupil size reflects successful encoding and recall of memory in humans

    Publikacja
    • M. T. Kucewicz
    • J. Dolezal
    • V. Kremen
    • B. M. Berry
    • L. R. Miller
    • A. L. Magee
    • V. Fabian
    • G. A. Worrell

    - Scientific Reports - Rok 2018

    Pupil responses are known to indicate brain processes involved in perception, attention and decision-making. They can provide an accessible biomarker of human memory performance and cognitive states in general. Here we investigated changes in the pupil size during encoding and recall of word lists. Consistent patterns in the pupil response were found across and within distinct phases of the free recall task. The pupil was most...

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  • Human memory enhancement through electrical stimulation in the temporal cortex

    Publikacja
    • M. T. Kucewicz
    • B. M. Berry
    • L. R. Miller
    • F. Khadjevand
    • Y. Ezzyat
    • J. M. Stein
    • V. Kremen
    • B. H. Brinkmann
    • P. Wanda
    • M. R. Sperling... i 10 innych

    - Brain: A Journal of Neurology - Rok 2018

    Direct electrical stimulation of the human brain can elicit sensory and motor perceptions as well as recall of memories. Stimulating higher order association areas of the lateral temporal cortex in particular was reported to activate visual and auditory memory representations of past experiences (Penfield and Perot, 1963). We hypothesized that this effect could be used to modulate memory processing. Recent attempts at memory enhancement...

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  • A memory efficient and fast sparse matrix vector product on a Gpu

    This paper proposes a new sparse matrix storage format which allows an efficient implementation of a sparse matrix vector product on a Fermi Graphics Processing Unit (GPU). Unlike previous formats it has both low memory footprint and good throughput. The new format, which we call Sliced ELLR-T has been designed specifically for accelerating the iterative solution of a large sparse and complex-valued system of linear equations arising...

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  • LANGUAGE AS A MODERATOR OF MEMORY-RELATED PROCESSES IN CHILDREN WITH DEVELOPMENTAL DYSLEXIA

    Publikacja

    - Acta Neuropsychologica - Rok 2012

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  • Drought stress memory and subsequent drought stress tolerance in plants

    Publikacja
    • Ł. Wojtyla
    • E. Paluch-Lubawa
    • E. Sobieszczuk-Nowicka
    • M. Garnczarska

    - Rok 2020

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  • Deterministic rendezvous of asynchronous bounded-memory agents in polygonal terrains

    Publikacja

    - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2010

    Two mobile agents, modeled as points starting at differentlocations of an unknown terrain, have to meet. The terrain is a polygon with polygonal holes. We consider two versions of this rendezvous problem: exact RV, when the points representing the agents have to coincide at some time, and epsilon-RV, when these points have to get at distance less than epsilon in the terrain. In any terrain, each agent chooses its trajectory, but...

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  • Reduced order models in computational electromagnetics (in memory of Ruediger Vahldieck)

    This paper reviews research of Ruediger Vahldieck's group and the group at the Gdansk University of Technology in the area of model order reduction techniques for accelerating full-wave simulations. The applications of reduced order models to filter design as well as of local and nested(multilevel) macromodels for solving 3D wave equations and wave-guiding problems using finite difference and finite element methods are discussed.

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  • Deterministic rendezvous of asynchronous bounded-memory agents in polygonal terrains

    Publikacja

    - THEORY OF COMPUTING SYSTEMS - Rok 2013

    We consider two versions of the rendezvous problem: exact RV, when the points representing agents have to coincide at some time, and e-RV, when these points have to get at distance less than e in the terrain. In any terrain, each agent chooses its trajectory, but the movements of the agent on this trajectory are controlled by an adversary that may, e.g. speed up or slow down the agent.

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  • Electromagnetic Simulations with 3D FEM and Intel Optane Persistent Memory

    Publikacja

    - Rok 2022

    Abstract—Intel Optane persistent memory has the potential to induce a change in how high-performance calculations requiring a large system memory capacity are conducted. This article presents what this change may look like in the case of factorization of large sparse matrices describing electromagnetic problems arising in the 3D FEM analysis of passive highfrequency components. In numerical tests, the Intel oneAPI MKL PARDISO was...

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  • Arc Ignition Process in Short Fuses Element

    Publikacja

    - Rok 2003

    Przedstawiono wyniki badań zapłonu łuku elektrycznego w topiku w warunkach dużej stromości narastania gęstości prądu, do 5.19 9 A s-1 mm-2. Wyznaczono podziałkę rozpadu topika (0,04-0,12 mm) oraz napięcie zapłonu na elementarnej przerwie topika (20-30 V). Wykazano w badaniach doświadczalnych modelu fizycznego topika rozpad i ponowne łączenie sąsiednich elementarnych przerw.

  • A comparative study of English viseme recognition methods and algorithm

    An elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector...

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