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

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Solomonoff coding as a means of introducing prior information in syntactic pattern recognition

Solomonoff coding as a means of introducing prior informatio...

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international conference on pattern recognition

作者： A.L.N. Fred J.M.N. Leitao Instituto de Telecomunicações Department Engineering Electrotécnica e de Computadores Instituto Superior Technico Lisboa Portugal

In this paper, a solution to the problem of introducing a priori information in phrase structured syntactic pattern recognition systems is proposed. the method consists of devising subpatterns (representing regularities in the symbol sequences) by means of Solomonoff coding, and using these subpatterns as a priori information for constraining the production of structural samples, which serve as input to grammar inference algorithms. We have shown, in a previous work, the adequacy of syntactic modeling in automatic sleep analysis. In this paper, a further improvement is achieved by applying the proposed methodology.

关键词： pattern recognition Information theory Stochastic processes Entropy Computational complexity Turing machines Telecommunication computing Production Artificial intelligence Learning systems

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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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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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Learning non-visual graphical information using a touch-based vibro-audio interface 12

Learning non-visual graphical information using a touch-base...

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14th international ACM SIGACCESS conference on Computers and Accessibility, ASSETS 2012

作者： Giudice, Nicholas A. Palani, Hari Prasath Brenner, Eric Kramer, Kevin M. Spatial Informatics Program School of Computing and Information Science University of Maine 5711 Boardman Hall Orono ME 04469 United States Advanced Medical Electronics 6901 East Fish Lake Road Maple Grove MN 55368 United States

ISBN: (纸本)9781450313216

this paper evaluates an inexpensive and intuitive approach for providing non-visual access to graphic material, called a vibro-audio interface. the system works by allowing users to freely explore graphical information on the touchscreen of a commercially available tablet and synchronously triggering vibration patterns and auditory information whenever an on-screen visual element is touched. three studies were conducted that assessed legibility and comprehension of the relative relations and global structure of a bar graph Exp 1 pattern recognition via a letter identification task Exp 2 and orientation discrimination of geometric shapes Exp 3). Performance with the touch-based device was compared to the same tasks performed using standard hardcopy tactile graphics. Results showed similar error performance between modes for all measures, indicating that the vibro-audio interface is a viable multimodal solution for providing access to dynamic visual information and supporting accurate spatial learning and the development of mental representations of graphical material.

关键词： pattern recognition

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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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Medical Image computing and Computer-Assisted Intervention – MICCAI 2009 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Guang-Zhong Yang David Hawkes Daniel Rueckert Alison Noble Chris Taylor

ISBN: (数字)9783642042713

ISBN: (纸本)9783642042706

the two-volume set LNCS 5761 and LNCS 5762 constitute the refereed proceedings of the 12th international conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009. Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. the second volume includes 134 papers divided in topical sections on shape modelling and analysis; motion analyysis, physical based modelling and image reconstruction; neuro, cell and multiscale image analysis; image analysis and computer aided diagnosis; and image segmentation and analysis.

关键词： Image Processing and Computer Vision Simulation and Modeling User Interfaces and Human Computer Interaction Computer Imaging, Vision, pattern recognition and Graphics Artificial Intelligence Imaging / Radiology

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3D Adaptive Beamforming Approach with a Fine-Tuned Deep Neural Network 12

3D Adaptive Beamforming Approach with a Fine-Tuned Deep Neur...

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12th international conference on Modern Circuits and Systems Technologies, MOCAST 2023

作者： Mallioras, Ioannis Yioultsis, Traianos V. Kantartzis, Nikolaos V. Lazaridis, Pavlos I. Zaharis, Zaharias D. Aristotle University of Thessaloniki School of Electrical and Computer Eng. Thessaloniki Greece Maggioli SpA Santarcangelo Di Romagna Italy University of Huddersfield School of Computing and Eng. Huddersfield United Kingdom

ISBN: (纸本)9798350321074

Adaptive beamforming is an essential smart antenna operation, with increasing importance for beyond 5G networks. However, the increased computational complexity of deterministic beamforming algorithms highlights their inability to respond to future demands. In this paper we approach the problem of mapping the angles of arrival of incoming signals on an 8x8 uniform planar array, to a desired complex feeding weight vector. We investigate a well-known deep learning model, the multi-layer perceptron, and we train it on a large dataset produced by the null-steering beamforming (NSB) algorithm. In order to propose the most efficient design, we fine tune the hyperparameters and each individual layer of the deep feedforward neural network architecture. the proposed model is able to reach excellent beam-steering accuracy, with signal to interference-plus-noise ratio levels similar to that of NSB, at a significantly lower response time. Finally, we provide a statistical analysis to compare the performance of each beamformer. © 2023 IEEE.

关键词： Signal to noise ratio

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Practically Adopting Human Activity recognition 23

Practically Adopting Human Activity Recognition

引用

29th Annual international conference on Mobile computing and Networking, MobiCom 2023

作者： Xu, Huatao Zhou, Pengfei Tan, Rui Li, Mo Nanyang Technological University Singapore60005510 Singapore University of Pittsburgh Pittsburgh60015543 United States The Hong Kong University of Science and Technology Hong Kong Hong Kong

ISBN: (纸本)9781450399906

Existing inertial measurement unit (IMU) based human activity recognition (HAR) approaches still face a major challenge when adopted across users in practice. the severe heterogeneity in IMU data significantly undermines model generalizability in wild adoption. this paper presents UniHAR, a universal HAR framework for mobile devices. To address the challenge of data heterogeneity, we thoroughly study augmenting data with the physics of the IMU sensing process and present a novel adoption of data augmentations for exploiting both unlabeled and labeled data. We consider two application scenarios of UniHAR, which can further integrate federated learning and adversarial training for improved generalization. UniHAR is fully prototyped on the mobile platform and introduces low overhead to mobile devices. Extensive experiments demonstrate its superior performance in adapting HAR models across four open datasets. © 2023 ACM.

关键词： pattern recognition

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Analysis and modeling of contextual activity pattern for identifying lifestyle disorders 12

Analysis and modeling of contextual activity pattern for ide...

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12th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2021

作者： Sakhare, Apeksha V. Sharma, Ashish K. Computer Science and Engineering G H Raisoni University MH Amravati India Computer Science and Engineering G H Raisoni College of Engineering MH Nagpur India School of Engineering and Technology G H Raisoni University MH Amravati India

Nowadays with the help of various government health records and surveys, it has been found that the root cause of the various severe diseases (non-communicable) very frequently occur in the early age of humans and adolescents has not even aware of any symptoms or signs. this type of disease has a root cause of human irregular and very unhealthy, unorganized lifestyle and diet pattern. From the data analysis done on health information collected by various government organizations, it has been found that 309889 adolescents between ages 12-18 (53.8 female genders) from approx. 70 countries have been suffering from this non-communicable disease. Medical departments or health care organizations are producing a very wide amount of health-based data every day which be used for identifying or recognizing or predicting this disease which has no early signs or symptoms during some of its growing stages. this hidden data of healthcare organizations will be useful for taking decisions effectively for affected person treatment and recovery procedure. Here the main challenge is how to extract the hidden data from the collected health records, there some sort of data mining and machine learning technique is required. the expected outcome of our research work is that if the disease is detected and identified at its early stage it can be cured very effectively and easily with more accuracy and thus reducing the risk factor of life of a patient and the cost of treatment required to cure the disease. Early recognition of disease will also increase the percentage rate of cure from a disease of a patient and also decreases the risk of loss of life of a patient. this research paper provides a brief introduction of lifestyle Health problems and its cause. Our proposed research work includes a review of various techniques used by different research scholars, a working block diagram with a brief description of the diagram, and at the end, we have concluded with future work and the scope of

关键词： Diseases

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Affine reconstruction from perspective image pairs obtained by a translating camera

Affine reconstruction from perspective image pairs obtained ...

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international conference on pattern recognition

作者： L. Van Gool T. Moons M. Proesmans M. Van Diest ESAT Katholieke Univ. Leuven Belgium Katholieke Universiteit Leuven Belgium Katholieke Universiteit Leuven Leuven Flanders BE

the three-dimensional structure of a scene consisting of at least five points whose images are identified in two perspective views obtained by a translating camera, can be reconstructed up to a 3D affine transformation. Hence, a more detailed reconstruction is possible using less information when compared to the results for arbitrary stereo pairs taken with uncalibrated, perspective cameras.

关键词： Image reconstruction Cameras Layout Stereo image processing Moon Data mining Cloud computing Calibration Robot vision systems Mobile robots

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