Распознавание изображений на основе вероятностной нейронной сети с проверкой однородности
Computer Optics. 2013. Т. 37. № 2. С. 254-262.
Research target: Computer Science
Priority areas: IT and mathematics
, Computer Optics 2013 Vol. 37 No. 2 P. 254-262
The usage of the probabilistic neural network with homogeneity testing is proposed in image recognition problem. This decision is shown to be optimal in Bayesian terms if the task is formulated as a statistical testing for homogeneity of query and model images' feature sets. The problem of the lack of computing efficiency with many classes ...
Added: July 1, 2013
, Lecture Notes in Computer Science 2013 Vol. 7963 P. 123-132
The parallel computing algorithms are explored to improve the efficiency of image recognition with large database. The novel parallel version of the directed enumeration method (DEM) is proposed. The experimental study results in face recognition problem with FERET and Essex datasets are presented. We compare the performance of our parallel DEM with the original DEM ...
Added: June 15, 2013
Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet
, PeerJ Computer Science 2019 Vol. 5:e197 P. 1-26
This paper is focused on the automatic extraction of persons and their attributes (gender, year of born) from album of photos and videos. A two-stage approach is proposed in which, firstly, the convolutional neural network simultaneously predicts age/gender from all photos and additionally extracts facial representations suitable for face identification. Here the MobileNet is modified ...
Added: June 12, 2019
, Neural Networks 2013 Vol. 46 P. 227-241
The article is devoted to pattern recognition task with the database containing small number of samples per class. By mapping of local continuous feature vectors to a discrete range, this problem is reduced to statistical classification of a set of discrete finite patterns. It is demonstrated that Bayesian decision under the assumption that probability distributions ...
Added: June 16, 2013
, , PeerJ Computer Science 2021 Vol. 7:e391 P. 1-18
The article is considering the problem of increasing the performance and accuracy of video face identification. We examine the selection of the several best video frames using various techniques for assessing the quality of images. In contrast to traditional methods with estimation of image brightness/contrast, we propose to utilize the deep learning techniques that estimate ...
Added: February 25, 2021
Метод максимально правдоподобных рассогласований в задаче распознавания изображений на основе глубоких нейронных сетей
, Компьютерная оптика 2017 Т. 41 № 3 С. 422-430
In this paper we focus on the image recognition problem in the case of small sample size based on the nearest neighbor rule and matching of high-dimensional feature vectors extracted with the deep convolutional neural network. We propose the novel recognition algorithm based on the maximum likelihood method for the joint density of dissimilarities between ...
Added: July 8, 2017
Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition
, Optical Memory and Neural Networks (Information Optics) 2017 Vol. 26 No. 2 P. 129-136
We analyzed the way to increase computational efficiency of video-based image recognition methods with matching of high dimensional feature vectors extracted by deep convolutional neural networks. We proposed an algorithm for approximate nearest neighbor search. At the first step, for a given video frame the algorithm verifies a reference image obtained when recognizing the previous ...
Added: June 30, 2017
Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features
, , Expert Systems with Applications 2018 Vol. 108 P. 170-182
The paper deals with unconstrained face recognition task for the small sample size problem based on computation of distances between high-dimensional off-the-shelf features extracted by deep convolution neural network. We present the novel statistical recognition method, which maximizes the likelihood (joint probabilistic density) of the distances to all reference images from the gallery set. This ...
Added: May 17, 2018
, , Интеллектуальные системы. Теория и приложения 2005 Т. 9 С. 153-157
Added: September 28, 2018
Computation-Efficient Face Recognition Algorithm Using a Sequential Analysis of High Dimensional Neural-Net Features
, , Optical Memory and Neural Networks (Information Optics) 2020 Vol. 29 No. 1 P. 19-29
The goal of the study is to increase the computation efficiency of the face recognition that uses feature vectors to describe facial images on photos and videos. These high-dimensional feature vectors are nowadays produced by convolutional neural networks. The methods to aggregate the features generated for each video frame are used to process the video ...
Added: October 25, 2019
, Интеллектуальные системы в производстве 2003 Т. 2 С. 167-170
Added: September 28, 2018
, Lecture Notes in Computer Science 2015 Vol. 9124 P. 236-245
The insufficient performance of statistical recognition of composite objects (images, speech signals) is explored in case of medium-sized database (thousands of classes). In contrast to heuristic approximate nearest-neighbor methods we propose a statistically optimal greedy algorithm. The decision is made based on the Kullback-Leibler minimum information discrimination principle. The model object to be checked at ...
Added: July 5, 2015
, Lecture Notes in Computer Science 2014 Vol. 8641 P. 261-266
Conventional image recognition methods usually include dividing the keypoint neighborhood (for local features) or the whole object (for global features) into a grid of blocks, computing the gradient magnitude and orientation at each image sample point and uniting the orientation histograms of all blocks into a single descriptor. The query image is recognized by matching ...
Added: August 27, 2014
, Программная инженерия 2022 Vol. 13 No. 7 P. 331-343
Trends in computer vision and pattern recognition and capabilities of modern computers contributed to a consid- erable amount of research of these areas application in facial recognition systems. The purpose of this paper is to investigate the most significant methods of face recognition. In the first two sections of current paper, the methods of face ...
Added: October 31, 2022
Выбор параметров алгоритма распознавания изображений на основе коллектива решающих правил и принципа максимума апостериорной вероятности
, Компьютерная оптика 2012 Т. 36 № 1 С. 117-124
The problem of the choice of algorithms parameters in automatic image recognition is put and solved by ensemble classifiers construction using the maximum posterior probability principle. The new criterion of parameters choice is strictly synthesized for Kullback-Leibler information discrimination and modern SIFT (Scale-Invariant Feature Transform) method of object recognition. The program and results of experimental ...
Added: June 9, 2012
Method of Directed Enumeration of Alternatives in the Problem of Automatic Recognition of Half-Tone Images
, Optoelectronics, Instrumentation and Data Processing 2009 Vol. 45 No. 3 P. 255-261
The article deals with a problem of halftone image signals recognition using the minimum of the informative divergent criterion. The new algorithm of direct search among set of alternatives using Kullback-Leibler information distance has been developed in opposition to exhaustive search between concurrent hypotheses. The experimental results have been produced. The proposed algorithm is characterized ...
Added: November 17, 2012
Исследование метода адаптивного функционирования беспроводной сенсорной сети камер с автономными источниками питания
, Качество. Инновации. Образование 2015 № 9 С. 29-33
This paper presents a method for increasing the energy efficiency of wireless camera sensor network with independent power sources - adaptive functioning of a sensor network. We describe the problem of efficient use of energy resources, deal with methods to improve energy efficiency of the camera sensor network, define factors affecting the image recognition on ...
Added: October 31, 2015
, Записки научных семинаров ПОМИ РАН 2021 Т. 499 С. 267-283
In this paper fast image recognition techniques based on statistical sequential analysis are discussed. We examine the possibility to sequentially process the principal components and organize a convolutional neural net- work with early exits. Particular attention is paid to sequentially learn multi-task lightweight neural network model to predict several facial at- tributes (age, gender and ...
Added: January 27, 2021
М. : National Instruments Russia, 2017
Содержание сборника составляют доклады с результатами оригинальных исследований и технических решений, ранее не публиковавшиеся. Мы надеемся, что предлагаемый сборник окажется полезным для специалистов, работающих в различных областях науки и техники, для широкого круга преподавателей, аспирантов и студентов ВУЗов, а также для преподавателей средних школ и технических колледжей. ...
Added: May 10, 2017
, , Procedia Engineering 2015 Vol. 100 P. 1459-1468
Work solutions are proposed for problems of leader definition and role distribution in homogeneous groups of robots. It is shown that transition from a swarm to a collective of robots with hierarchical organization is possible using exclusively local interaction. The local revoting algorithm is central to the procedure for choice of leader while redistribution of roles can ...
Added: March 14, 2015
Algorithms and methods for solving scheduling problems and other extremum problems on large-scale graphs
, , et al., Journal of Mathematical Sciences 2005 Vol. 128 No. 6 P. 3487-3495
Added: January 27, 2014
, , et al., IEEE Transactions on Networking 2018 Vol. 26 No. 1 P. 342-355
Modern network elements are increasingly required to deal with heterogeneous traffic. Recent works consider processing policies for buffers that hold packets with different processing requirements (number of processing cycles needed before a packet can be transmitted out) but uniform value, aiming to maximize the throughput, i.e., the number of transmitted packets. Other developments deal with ...
Added: March 14, 2018
Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 29 мая — 1 июня 2019 г.). Вып. 18 (25)
М. : Издательский центр «Российский государственный гуманитарный университет», 2019
Сборник включает 27 докладов международной конференции по компьютерной лингвистике и интеллектуальным технологиям «Диалог 2019», не вошедшие в ежегодник «Компьютерная лингвистика и интеллектуальные технологии», но рекомендованные Программным Комитетом к представлению на конференции. Для специалистов в области теоретической и прикладной лингвистики и интеллектуальных технологий. ...
Added: December 10, 2019
, , , Inorganic Materials: Applied Research 2016 Vol. 7 No. 1 P. 34-39
A database (DB) on the bandgap of inorganic substances available via the Internet (http://bg.imetdb.ru) was developed for the information service of specialists in the sphere of inorganic chemistry and materials science. The DB is integrated with other information systems on the properties of inorganic substances and materials, which provides the search of a wide range ...
Added: February 23, 2016