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检索条件"任意字段=2021 10th International Conference on Computing and Pattern Recognition"

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Stabilizing video facial landmark detection and tracking via global and local filtering 18

Stabilizing video facial landmark detection and tracking via...

引用

10th international conference on Internet Multimedia computing and Service, ICIMCS 2018

作者： Guo, Xingyan Jin, Yi Li, Yidong Xing, Junliang Lang, Congyan School of Computer and Information Technology Beijing Jiaotong University Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781450365208

Video facial landmark detection and tracking are important computer vision tasks with many applications such as face anti-spoofing, animation and recognition. Most of existing facial landmark detection and tracking methods, however, often suffer from the instability issue which will affect their effectiveness in real world applications. In this work we present a novel solution for stabilized facial landmark detection and tracking in video frames. the proposed solution addresses various kinds of challenging situations and provides effective remedies to solve them. the main contribution within our solution is a novel global and local filtering strategy, which guarantees the robustness of global whole facial shape tracking and the adaptivity of local facial parts tracking. the proposed solution does not depend on specific face detection and alignment algorithms, thus can be easily deployed into existing systems. Extensive experimental evaluations and analyses on different benchmark datasets verify the effectiveness of the proposed approach. © 2018 ACM.

关键词： Face recognition

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Intelligent computing technologies in music processing for blind people

Intelligent computing technologies in music processing for b...

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2010 10th international conference on Intelligent Systems Design and Applications, ISDA'10

作者： Homenda, Wladyslaw Faculty of Mathematics and Information Science Warsaw University of Technology pl. Politechniki 1 00-661 Warsaw Poland

ISBN: (纸本)9781424481354

A discussion on involvement of knowledge based methods in implementation of user friendly computer programs for disabled people is the goal of this paper. the paper presents a concept of a computer program that is aimed to aid blind people dealing with music and music notation. the concept is solely based on computational intelligence methods involved in implementation of the computer program. the program is build around two research fields: information acquisition and knowledge representation and processing which are still research and technology challenges. Information acquisition module is used for recognizing printed music notation and storing acquired information in computer memory. this module is a kind of the paper-to-memory data flow technology. Acquired music information stored in computer memory is then subjected to mining implicit relations between music data, to creating a space of music information and then to manipulating music information. Storing and manipulating music information is firmly based on knowledge processing methods. the program described in this paper involves techniques of pattern recognition and knowledge representation as well as contemporary programming technologies. It is designed for blind people: music teachers, students, hobbyists, musicians. © 2010 IEEE.

关键词： Knowledge representation

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Supervised Feature Embedding for Classification by Learning Rank-based Neighborhoods 25

Supervised Feature Embedding for Classification by Learning ...

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25th international conference on pattern recognition (ICPR)

作者： Sheikhi, Ghazaal Altncay, Hakan Eastern Mediterranean Univ Dept Comp Engn Via Mersin 10 Famagusta North Cyprus Turkey

ISBN: (纸本)9781728188089

In feature embedding, the recovery of associated discriminative information in the reduced subspace is critical for downstream classifiers. In this study, a supervised feature embedding method is proposed inspired by the well-known word embedding technique, word2vec. Proposed embedding method is implemented as representative learning of rank-based neighbor-hoods. the notion of context words in word2vec is extended into neighboring instances within a given window. Neighborship is defined using ranks of instances rather than their values so that regions with different densities are captured properly. Each sample is represented by a unique one-hot vector whereas its neighbors are encoded by several two-hot vectors. the two-hot vectors are identical for neighboring samples of the same class. A feed-forward neural network with a continuous projection layer, then learns the mapping from one-hot vectors to multiple two-hot vectors. the hidden layer determines the reduced subspace for the train samples. the obtained transformation is then applied on test data to find a lower-dimensional representation. Proposed method is tested in classification problems on 10 UCI data sets. Experimental results confirm that the proposed method is effective in finding a discriminative representation of the features and outperforms several supervised embedding approaches in terms of classification performance.

关键词： embedding representative learning neighborhoods hot vectors

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Learning Non-Markovian Constraints for Handwriting recognition 13

Learning Non-Markovian Constraints for Handwriting Recogniti...

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13th IAPR international conference on Document Analysis and recognition (ICDAR)

作者： Kakisako, Ryosuke Uchida, Seiichi Volkmar, Frinken Kyushu Univ Fukuoka 8190395 Japan

ISBN: (纸本)9781479918058

Recently, the horizon of dynamic time warping (DTW) for matching two sequential patterns has been extended to deal with non-Markovian constraints. the non-Markovian constraints regulate the matching in a wider scale, whereas Markovian constraints regulate the matching only locally. the global optimization of the non-Markovian DTW is proved to be solvable in polynomial time by a graph cut algorithm. the main contribution of this paper is to reveal what is the best constraint for handwriting recognition by using the non-Markovian DTW. the result showed that the best constraint is not a Markovian but a totally non-Markovian constraint that regulates the matching between very distant points;that is, it was proved that the conventional Markovian DTW has a clear limitation and the non-Markovian DTW should be more focused in future research.

关键词： Markov processes computational complexity graph theory handwriting recognition learning (artificial intelligence) dynamic time warping horizon graph cut algorithm nonMarkovian DTW horizon nonMarkovian constraint learning polynomial time solvability sequential pattern matching Accuracy Decoding Optical computing handwriting recognition Optical computing Markov chain Graph theory DECODING complexity classes Graph algorithms

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Model driven design of distribution patterns for web service compositions

Model driven design of distribution patterns for web service...

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2006 10th IEEE international Enterprise Distributed Object computing conference Workshops, EDOCW2006

作者： Barrett, Ronan Pahl, Claus School of Computing Dublin City University Dublin 9 Ireland

ISBN: (纸本)076952558X

Increasingly, distributed systems are being constructed by composing a number of discrete components. this practice, termed composition, is particularly prevalent within the Web service domain. Here, enterprise systems are built from many existing discrete applications, often legacy applications exposed using Web service interfaces. there are a number of architectural configurations or distribution patterns, which express how a composed system is to be deployed. However, the amount of code required to realise these distribution patterns is considerable. In this paper, we propose a novel Model Driven Architecture using UML 2.0, which takes existing Web service interfaces as its input and generates an executable Web service composition, based on a distribution pattern chosen by the software architect. © 2006 IEEE.

关键词： Web services

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2021 IEEE 10th international conference on Cloud Networking, CloudNet 2021

2021 IEEE 10th International Conference on Cloud Networking,...

引用

10th IEEE international conference on Cloud Networking, CloudNet 2021

ISBN: (纸本)9781665435383

the proceedings contain 23 papers. the topics discussed include: longer stay less priority: flow length approximation used in information-agnostic traffic scheduling in data center networks;where is the light(ning) in the taproot dawn? unveiling the bitcoin lightning (IP) network;using distributed tracing to identify inefficient resources composition in cloud applications;leveraging partial model extractions using uncertainty quantification;super-resolution on edge computing for improved adaptive http live streaming delivery;secure distributed storage on cloud-edge infrastructures;and a machine learning approach for service function chain embedding in cloud datacenter networks.

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A Smart Home Agriculture System Based on Internet of things 10

A Smart Home Agriculture System Based on Internet of Things

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10th Mediterranean conference on Embedded computing, MECO 2021

作者： Akram, Vahid Khalilpour Challenger, Moharram International Computer Institute Ege University Bornova Izmir Turkey University of Antwerp and Flanders Make Flanders Belgium

ISBN: (纸本)9780738133614

Internet of things (IoT) has a growing application in agriculture and smart farming. Different monitoring, controlling and tracking systems have been proposed for increasing the efficiency and quality of agricultural products. While most of the existing systems focus on industrial farming, many people would like to create their own small-scale farms at home to produce organic products for their daily consumption. However, due to the lack of agricultural knowledge and infrastructures, people usually unable to produce healthy agricultural products at home. this paper proposes an IoT-based system for home agriculture to create small-scale farms in indoor locations. the proposed system uses ESP-32 devices and connected sensors to measure different quantities of the soil and air conditions to create a more suitable environment for growing the plants. Using the mobile application, the users can connect and configure the sensing devices over Bluetooth connections. the sensed data are sent to a web server over a WiFi connection. the web server stores the received data and provides real-time reports about the environment and plants. Based on the received data and the plant requirements, the webserver may send notification messages to the user's mobile phone. © 2021 IEEE.

关键词： Internet of things

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Towards Application of Soft computing in Structural Health Monitoring

Towards Application of Soft Computing in Structural Health M...

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10th international conference on Artificial Intelligence and Soft computing (ICAISC 2010)

作者： Nazarko, Piotr Ziemianski, Leonard Rzeszow Univ Technol Dept Struct Mech PL-35959 Rzeszow Poland

ISBN: (纸本)9783642132315

the paper presents preliminary results of data analysis and discusses the application of soft computing methods in the field of non-destructive tests. the main objective of developed diagnostic system are the automatic detection and evaluation of damage. thus the system is composed of two signal processing techniques known as novelty detection and pattern recognition. For this purpose autoassociative as well as feed-forward neural networks are used. All the signals used for training the system are obtained from laboratory tests of strip specimens, where phenomenon of elastic wave propagation in solids was utilized. Computed parameters of time signals defines various types of input vectors used for training neural networks. the results finally obtained prove that the proposed diagnostic system made automation of structure testing possible and can be applied to Structural Health Monitoring.

关键词： Neural networks novelty detection damage evaluation elastic waves signal processing structural health monitoring

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Multi-objective emperor penguin optimizer for tuning the quality-of-service in cloud computing 10

Multi-objective emperor penguin optimizer for tuning the qua...

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10th IEEE international conference on Communication Systems and Network Technologies, CSNT 2021

作者： Kaur, Harsimran Bhadoria, Robin Singh Dept. of CSE Uttarakhand Technical University Dehradun India Bhimtal Uttarakhand India

ISBN: (纸本)9780738105239

In the present situation, researchers have the task of developing a high quality features based cloud computing system in the real world if service is desired on request. Quality of service (QoS) describes such parameters which carry out the non-functional activities for any real time based systems. Such services are normally sufficient to achieve these QoS. Most of the information technology (IT) companies offer different cloud based services to its customers. there is no standard methodology available for calculating the actual use of cloud based resources and determining the rankings. From the customers’ point of view, it is not an easy task to find the reliable service provider that meets customer’s needs. this paper presents the QoS parameter especially on ‘throughput’ using Cloud Rank 3 with aid of Multi-Objective Emperor Penguin Optimizer (MOEPO) approach. this approach helps in finding the adorable and competent cloud service provider (CSP) available in the market. the different experiments have been carried out with actual QoS results, using Amazon EC2 services and its comparison. © 2021 IEEE.

关键词： Quality of service

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pattern recognition Applications and Methods 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Maria De Marsico Gabriella Sanniti di Baja Ana Fred

ISBN: (数字)9783031245381

ISBN: (纸本)9783031245374

this book contains revised and extended versions of selected papers from the 10th and 11;international conference on pattern recognition, ICPRAM 2021 and 2022, held in February 2021 and 2022. Due to COVID-19 pandemic the conferences were held virtually. Both conferences received in total 204 submissions from which 8 full papers were carefully reviewed and selected for presentation in this volume. the papers span a wide range of investigation as well as development lines, which of course always reflect the last trends of research in the pattern recognition community.

关键词： pattern recognition Machine Learning Computer Systems Organization and Communication Networks Computer Applications Information Systems and Communication Service

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