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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

共 696 条记录，以下是261-270 订阅

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Follicular Unit Registration Based on Binocular Stereo Vision for Hair Transplantation Surgery Robot 6

Follicular Unit Registration Based on Binocular Stereo Visio...

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6th international conference on Data Science and Information Technology, DSIT 2023

作者： Wang, Weiduo Liu, Jinfeng Yang, Jie Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition Department of Automation China Shanghai Jiao Tong University Institute of Medical Robotics China

ISBN: (纸本)9798350304442

In this paper, we focus on the follicular unit registration problem for hair transplantation surgery robots based on binocular stereo vision system. the follicular units in both images are detected with YOLO V5 network. Because of the dull and similar pattern of the follicular units, previous regular methods which are pixel-based are reported with misalignment and poor accuracy. To solve this problem, we propose the context shape to describe the feature of the follicular unit. the distribution of units surrounding the target unit is estimated as the context shape. then, Otsu's method is used to segment hairs and Hungarian algorithm is used to match the hairs in the matched follicular unit. then, the hairs are projected to 3D coordinate system and reconstructed. the experiments on the generated hair dataset demonstrate that the proposed method achieves both high accuracy and speed. © 2023 IEEE.

关键词： Stereo vision

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A theoretical analysis of the application of majority voting to pattern recognition

A theoretical analysis of the application of majority voting...

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international conference on pattern recognition

作者： L. Lam C.Y. Suen Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal Canada

Recently, it has been demonstrated that combining the decisions of several classifiers can lead to improved recognition results. the combination can be implemented using a variety of strategies, among which majority vote is by far the simplest, yet it has been found to be just as effective as more complicated schemes. However, all the results reported thus far on combinations of classifiers have been experimental in nature. the intention of this research is to analyze the foundations of the majority vote method in order to gain a deeper understanding and new results about its mode of operation.

关键词： pattern analysis Voting pattern recognition Probability Machine intelligence Optical character recognition software Distributed computing

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GamEMO: How Physiological Signals Show your Emotions and Enhance your Game Experience 12

GamEMO: How Physiological Signals Show your Emotions and Enh...

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14th ACM international conference on Multimodal Interaction (ICMI)

作者： Guillaume, Chanel Konstantina, Kalogianni thierry, Pun Univ Geneva Swiss Ctr Affect Sci CH-1205 Geneva Switzerland

ISBN: (纸本)9781450314671

the proposed demonstration is an automatic emotion assessment installation used for game's dynamic difficulty adjustment. the goal of the system is to maintain the player of the game in a state of entertainment and engagement where his/her skills match the difficulty level of the game. the player's physiological signals are recorded while playing a Tetris game and signal processing, feature extraction and classification techniques are applied to the signals in order to detect when the player is anxious or bored. the level of the Tetris game is then adjusted according to the player's detected emotional state. the demonstration will also serve as an experimental protocol to test the player's experience through their interaction with the proposed platform.

关键词： Affective computing Games Emotion Assessment Physiological Signal Processing pattern recognition Classification

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Iproceedings of the 4th international conference on Artificial Intelligence and Computer Engineering, ICAICE 2023

IProceedings of the 4th International Conference on Artifici...

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4th international conference on Artificial Intelligence and Computer Engineering, ICAICE 2023

ISBN: (纸本)9798400708831

the proceedings contain 200 papers. the topics discussed include: heat-aware graph data placement strategy for NVM;parameters estimation of photovoltaic models via an improved differential evolution algorithm;study on the extraction of law enforcement relationships in administrative law enforcement instrument data;online algorithm for exploring a grid polygon with two robots;research on gesture recognition method by improving dung beetle algorithm to optimize BP neural network;an improved algorithm for frequent sequence pattern mining based on PrefixSpan-ComplexPrefixSpan;machine learning-based research on reserve prediction of natural-gas-hydrates;enhancing coal mine safety monitoring algorithm using graph computing techniques;reverse distillation support vector data description for unsupervised anomaly detection;and few-shot object counting model based on self-support matching and attention mechanism.

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Comparative Study of pattern recognition Techniques in the Classification of Vertebral Column Diseases 12th

Comparative Study of Pattern Recognition Techniques in the...

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12th international Congress in Telematics and computing, WITCOM 2023

作者： Rojas-López, Alam Gabriel Uriarte-Arcia, Abril Valeria Rodríguez-Molina, Alejandro Villarreal-Cervantes, Miguel Gabriel Mechatronics Section Postgraduate Department OMD Laboratory Instituto Politécnico Nacional - Centro de Innovación y Desarrollo Tecnológico en Cómputo Mexico City07700 Mexico Research and Postgraduate Division Tecnológico Nacional de México/IT de Tlalnepantla Tlalnepantla de Baz54070 Mexico

ISBN: (纸本)9783031453151

this work compares popular classifiers based on pattern recognition techniques of supervised learning, including k-Nearest Neighbors, Naïve Bayes, Support Vector Machines, Artificial Neural Networks, and Decision Trees. Such techniques are applied to a dataset related to vertebral column orthopedic diseases. Different parameter values employed by each classifier are tested, resulting in an accuracy of around 80 % in almost all approaches, where the k-Nearest Neighbors alternatives were the most accurate. Finally, a brief discussion of particular highlights of how the metrics affect the performances of the classifiers is presented. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision trees

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the emergence of complex oscillatory behaviour in physarum polycephalum and its particle approximation

The emergence of complex oscillatory behaviour in physarum p...

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12th international conference on the Synthesis and Simulation of Living Systems: Artificial Life XII, ALIFE 2010

作者： Tsuda, Soichiro Jones, Jeff Unconventional Computing Group Bristol Institute of Technology University of the West of England BS16 1QY United Kingdom

ISBN: (纸本)9780262290753

the regeneration process of contractile oscillation in the plasmodium of Physarum polycephalum is investigated experimentally and modelled computationally. When placed in a well, the Physarum cell restructures the body (fusion of small granule-like cells) and shows various complex oscillation patterns. After it completed the restructuring and regained synchronised oscillation within the body, the cell shows bilateral oscillation or rotating wave pattern. this regeneration process did not depend on the well size and all the cases showed similar time course. A particle-based computational model was developed in order to model the emergence of oscillation patterns. Particles employing very simple and identical sensory and motor behaviours interacted with each other via the sensing and deposition of chemoattractants in a diffusive environment. From a random and almost homogeneous distribution, emergent domains of oscillatory activity emerged. By increasing the sensory radius the model simulated the regeneration process of the real plasmodium. In addition, the model replicated the rotating wave and bilateral oscillation pattern when the sensory radius was increased. the results suggest that complex emergent oscillatory behaviours (and thus the high-level systems which may utilise them, such as pumping and transport mechanisms) may be developed from simple materials inspired by Physarum slime mould.

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SER-Fuse: An Emotion recognition Application Utilizing Multi-Modal, Multi-Lingual, and Multi-Feature Fusion 23

SER-Fuse: An Emotion Recognition Application Utilizing Multi...

引用

12th international Symposium on Information and Communication Technology, SOICT 2023

作者： Pham, Nhat Truong Phan, Le thi Dang, Duc Ngoc Minh Manavalan, Balachandran Dept. of Integrative Biotechnology Sungkyunkwan University Gyeonggi-do Suwon Korea Republic of Dept. of Computing Fundamental Fpt University Ho Chi Minh Viet Nam

ISBN: (纸本)9798400708916

Speech emotion recognition (SER) is a crucial aspect of affective computing and human-computer interaction, yet effectively identifying emotions in different speakers and languages remains challenging. this paper introduces SER-Fuse, a multi-modal SER application that is designed to address the complexities of multiple speakers and languages. Our approach leverages diverse audio/speech embeddings and text embeddings to extract optimal features for multi-modal SER. We subsequently employ multi-feature fusion to integrate embedding features across modalities and languages. Experimental results archived on the English-Chinese emotional speech (ECES) dataset reveal that SER-Fuse attains competitive performance in the multi-lingual approach compared to the single-lingual approaches. Furthermore, we provide the implementation of SER-Fuse for download at https://***/nhattruongpham/SER-Fuse to support reproducibility and local deployment. © 2023 ACM.

关键词： Modal analysis

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Mining most informative atomic patterns from location-based social media 12

Mining most informative atomic patterns from location-based ...

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12th Annual IEEE international Systems conference, SysCon 2018

ISBN: (纸本)9781538636640

Location-based social network (LBSN) contains great business value, as it records user's exact positions in the physical world. However, dynamic modeling of mobility behavior is quite challenging due to the lack of prior knowledge of users. One intuitive method is to search all patterns and infer the reasons behind user's behavior. How to define a pattern that can best describe user's atomic routine becomes a very significant problem. Based on these atomic patterns, we can build accurate model and mine the motivation that drives user's behavior. On the other hand, traditional pattern mining algorithms consider less on the demand of incremental discovery. For location-based social network, eg. Foursquare, an average of about 3 million check-ins are generated per day. the workload on servers will be very heavy if all records need to be re-computed once a new check-in is posted. To conquer these new challenges in LBSN, we first propose a new definition named most informative atomic (MIA) pattern, which can extract most sufficient sequential information but with no redundancy. Additionally, an incremental method of MIA discovery is designed based on Ukkonen's suffix tree algorithm. Our experiment demonstrates MIA algorithm can work in linear time efficiently. Moreover, applying on four big check-in datasets, we find approximately 30% MIA patterns consists of multiple consecutive venues, which means daily routines can be observed on LBSN and provide great contributions to social computing. © 2018 IEEE.

关键词： Location

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Improving hybrid flash-disk storage by incorporating sequential pattern mining into fully-associative sector translation†

Improving hybrid flash-disk storage by incorporating sequent...

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7th IEEE/IFIP international conference on Embedded and Ubiquitous computing, EUC 2009

作者： Yoon, Un-Keun Kim, Han-Joon School of Electrical and Computer Engineering University of Seoul Korea Republic of

ISBN: (纸本)9780769538235

In this paper, we present a new way of improving hybrid flash-disk storage systems by intelligently prefetching file objects with sequential pattern mining technique. Our ultimate goal is to minimize overall file I/O processing time of hybrid storage systems with the 'fully associated sector translation' (FAST) technique that is known to be the best mapping method in managing flash memory. the FAST assumes that the flash memory space consists of log blocks and data blocks. Since the FAST technique can effectively handle sequential accesses while highly utilizing log block space, it is very significant to further enhance the system performance of the hybrid storage when applying FAST to it. In our work, the hybrid storage uses the flash memory as a cache space. With this memory architecture, we focus on prefetching file objects onto sequential log blocks to be accessed in the near future through sequential pattern mining. through intensive experiments using UCC data and synthetic data, we show that the proposed prefetching method contributes to improving the performance of the hybrid storage. © 2009 IEEE.

关键词： Flash memory

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Design and Implementation of Virtual Laboratory Infrastructure for Indonesia Skill Competition using Cloud computing

Design and Implementation of Virtual Laboratory Infrastructu...

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2023 international conference on Informatics Engineering, Science and Technology, INCITEST 2023

作者： Friyanto, Angga Lestariningati, Susmini Indriani Universitas Komputer Indonesia Information Systems Department Bandung Indonesia Universitas Komputer Indonesia Computer Engineering Department Bandung Indonesia

ISBN: (纸本)9798350317862

Indonesia Skill Competition, also known as "Lomba Kompetensi Siswa (LKS)", is a vocational student skill competition program for students in 10th-12th grade. Students competes in a variety of competition categories. In the 2020 to 2022 academic year, due to the COVID-19 Pandemic, Committee designed an innovative and novel IT Network System Administration using Cloud computing rather than cancelling the National Competition. the purpose of this paper is to show how to designed, implemented Virtual Laboratory using Cloud implementation. Competitor from their respective regions is connected via the Internet with Virtual Private Network access to Computer and Server Infrastructure that has been prepared by the committee according to the needs of the Test Project. During the competition, the competitor made configurations or settings directly on all servers and computers in Cloud computing. thus, even though the competition is held from their respective provinces, they can still maintain honesty and fairness because the competitor completes their work on a centralized cloud infrastructure under the supervision of the central committee. © 2023 IEEE.

关键词： Cloud computing

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