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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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computing stable resultant-based minimal solvers by hiding a variable 25

Computing stable resultant-based minimal solvers by hiding a...

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25th international conference on pattern recognition (ICPR)

作者： Bhayani, Snehal Kukelova, Zuzana Heikkila, Janne Univ Oulu Ctr Machine Vis & Signal Anal Oulu Finland Czech Tech Univ Fac Elect Engn Visual Recognit Grp Prague Czech Republic

ISBN: (纸本)9781728188089

Many computer vision applications require robust and efficient estimation of camera geometry. the robust estimation is usually based on solving camera geometry problems from a minimal number of input data measurements, i.e., solving minimal problems, in a RANSAC-style framework. Minimal problems often result in complex systems of polynomial equations. the existing state-of-the-art methods for solving such systems are either based on Grobner bases and the action matrix method, which have been extensively studied and optimized in the recent years or recently proposed approach based on a resultant computation using an extra variable. In this paper, we study an interesting alternative resultant-based method for solving sparse systems of polynomial equations by hiding one variable. this approach results in a larger eigenvalue problem than the action matrix and extra variable resultant-based methods;however, it does not need to compute an inverse or elimination of large matrices that may be numerically unstable. the proposed approach includes several improvements to the standard sparse resultant algorithms, which significantly improves the efficiency and stability of the hidden variable resultant-based solvers as we demonstrate on several interesting computer vision problems. We show that for the studied problems, our sparse resultant based approach leads to more stable solvers than the state-of-the-art Grobner basis as well as existing resultant-based solvers, especially in close to critical configurations. Our new method can be fully automated and incorporated into existing tools for the automatic generation of efficient minimal solvers.

关键词： Sparse resultants polynomial solvers minimal problems multiple view geometry

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Fuzzy pattern recognition method of radar signal based on neural network

Fuzzy pattern recognition method of radar signal based on ne...

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2010 6th international conference on Natural Computation, ICNC'10

作者： Chen, Ting Chen, Wei Unmanned Aircraft Vehicle Teaching and Research Section A A P.L.A Hefei China

ISBN: (纸本)9781424459612

Radar signal recognition is an important step of radar countermeasure processing. the classical recognition method is called weight distance, in which the feature parameter weights are obtained by expert and then the weight distance of unknown radar signal and signal template in database is computed. For it existing subjectivity in setting of feature parameter weights with classical recognition method, and the computing method of recognition is too simple, all of which make recognition result can't reflect the true fact objectively. Considering this point, a fuzzy pattern recognition method based on neural network getting weights to radar signal recognition is studied in this paper, the feature parameter weights in this method are fixed on by neural network and then the unknown radar signal is recognized by fuzzy pattern recognition method. Simulation experiment and its result show the method in this paper is practicable and more reliable compared with classical method. © 2010 IEEE.

关键词： Membership functions

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Multi-instance Classification Based on Random Point pattern 10

Multi-instance Classification Based on Random Point Pattern

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10th international conference on Control, Automation and Information Sciences, ICCAIS 2021

作者： Yang, Haojie Liu, Weifeng Peng, Zhangming Hangzhou Dianzi University School of Automation Hangzhou China Shaanxi University of Science and Technology School of Electrical and Control Engineering Xi'an China

ISBN: (纸本)9781665440295

Aiming at the problem that the performance of bag data classification based on Naive Bayesian model is limited by the similar feature distribution and lack of prior information. A method for multiple-instance classification based on random point pattern is proposed. It is based on random point pattern framework. Firstly, several random point pattern models with different complexity are constructed according to the training set. then the maximum likelihood estimate (MLE) of model parameters is equivalent to the parameter estimate of the cardinality distribution and the feature distribution. the expectation-maximization (EM) algorithm is used to estimate the feature distribution parameters, and the EM algorithm parameters are initialized by the fuzzy c-means clustering (FCM) algorithm. Finally, the best model is given by calculating the bayesian information criterion (BIC) value of each model. through two data set classification experiments, the results verify the improvement of the classification performance of the random point pattern model compared with the traditional model, as well as the robustness of the method. © 2021 IEEE.

关键词： Classification (of information)

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Advances in Soft computing 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Ildar Batyrshin Grigori Sidorov

ISBN: (数字)9783642253300

ISBN: (纸本)9783642253294

the two-volume set LNAI 7094 and 7095 constitutes the refereed proceedings of the 10th Mexican international conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. the 96 revised papers presented were carefully selected from XXX submissions. the second volume contains 46 papers focusing on soft computing. the papers are organized in the following topical sections: fuzzy logic, uncertainty and probabilistic reasoning; evolutionary algorithms and other naturally-inspired algorithms; data mining; neural networks and hybrid intelligent systems; and computer vision and image processing.

关键词： Artificial Intelligence Computer Imaging, Vision, pattern recognition and Graphics Image Processing and Computer Vision Information Systems Applications (incl. Internet) pattern recognition Data Mining and Knowledge Discovery

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Invers Natural Number System to Maintain User-defined Sequence of Data Records 10

Invers Natural Number System to Maintain User-defined Sequen...

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10th international conference on Data Science, Technology and Applications (DATA)

作者： Oeztuerk, Seyfettin Nokia Solut & Networks GmbH & Co KG Nurnberg Germany

ISBN: (纸本)9789897585210

the objective of this paper is to present a method to insert, edit, and delete database records without affecting the sequence of existing data. Typically, databases comprise integer data fields, in this paper named sequence number, meant to determine the user-defined sequence of data records. Inserting new data records or editing the sequence number of data records might cause a resequencing of the existing data records. this resequencing can be avoided by using a numbering system that decreases the value of a number when a digit is added to its end. Such a numbering system allows to insert an infinite quantity of additional sequence numbers between two sequence numbers even if their difference is 1.

关键词： Database Indexing Storing User-defined Row Sequence Avoiding Reordering Increasing Performance Decreasing computing Time and Energy Consumption Reducing Internet Data Traffic

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Cell segmentation with median filter and mathematical morphology operation

Cell segmentation with median filter and mathematical morpho...

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10th international conference on Image Analysis and Processing, ICIAP 1999

作者： Anoraganingrum, Dwi University of Bremen Centre for Computing Technologies Computer Graphics Group Universitätsallee 21-23 D-28359 Bremen Germany

ISBN: (纸本)0769500404

this paper describes a part of current research work on an automated cell tracking (ACT) project with the aim of tracking the movement of representative cells in order to determine the activity of the cell once certain medical substances have been injected. A major requirement for this project is an efficient method to segment cell images. this work shows that the combination methods of the median filter and the mathematical morphology operation such as dilation and erosion are adaptable and can be optimized to improve the segmentation result. the experimental results show that this method is suitable for segmentation based on edge detection of melanomas (tumor cells) and lymphocytes (blood cells) and the performance of this method is comparable to several edge detection methods such as Sobel, Prewitt, Roberts and Laplacian of Gaussian. © 1999 IEEE.

关键词： Median filters

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Investigation and ordinal modelling of vocal features for stress detection in speech 9

Investigation and ordinal modelling of vocal features for st...

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9th international conference on Affective computing and Intelligent Interaction (ACII)

作者： Kalatzantonakis-Jullien, George-Marios Stefanakis, Nikolaos Giannakakis, Giorgos Hellen Open Univ Sch Sci & Technol Patras Greece Hellen Mediterranean Univ Dept Mus Technol & Acoust GR-74100 Rethimnon Greece Fdn Res & Technol Hellas FORTH Inst Comp Sci Iraklion Greece Hellen Mediterranean Univ Univ Res Ctr Inst AgriFood & Life Sci Iraklion Greece

ISBN: (纸本)9781665400190

this paper investigates a robust and effective automatic stress detection model based on human vocal features. Our study experimental dataset contains the voices of 58 Greek-speaking participants (24 male, 34 female, 26.9 +/- 4.8 years old), both in neutral and stressed conditions. We extracted a total of 76 speech-derived features after extensive study of the relevant literature. We investigated and selected the most robust features using automatic feature selection methods, comparing multiple feature ranking methods (such as RFE, mRMR, stepwise fit) to assess their pattern across gender & experimental phase factors. then, classification was performed both for the entire dataset, and then for each experimental task, for both genders combined and separately. the performance was evaluated using 10-fold cross-validation on the speakers. Our analysis achieved a best classification accuracy of 84.8% using linear SVM for the social exposure phase and 74.5% for the mental tasks phase using the gaussian SVM classifier. the ordinal modelling improved significantly our results, yielding a best on-subject basis 10-fold cross-validation classification accuracy of 95.0% for social exposure using gaussian SVM and 85.9% for mental tasks using the gaussian SVM. From our analysis, specific vocal features were identified as being robust and relevant to stress along with parameters to construct the stress model. However, it is was observed the susceptibility of speech to bias and masking and thus the need for universal speech markers for stress detection.

关键词： stress voice speech pairwise transformation Mel cepstral coefficients emotion recognition affective computing biosignals feature selection mRMR hyperparameter optimization

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Haunting an 18th Century Peepshow Design and function of the mixed-media theatrical installation Teatro Menor 10

Haunting an 18th Century Peepshow Design and function of the...

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10th international conference on Digital and Interactive Arts (ARTECH)

作者： Mott, Iain Univ Brasilia UnB Inst Arts Dept Theatre Arts Brasilia DF Brazil

ISBN: (纸本)9781450384209

Miniature theatrical environments are described for a mixed-media installation featuring videotaped performance. the modules of the installation use the design of an 18th century French peepshow as a point of departure. the original viewing cabinets, made as amusements for parlours and salons, offered a primitive form of stereoscopy by way of a large bi-convex lens and gave individuals viewing two-dimensional coloured images the impression of depth and three-dimensionality, an effect often enhanced using prosceniums. In the current work, this basic form is hybridised with a contemporary expression of another archaic though persistent artistic technique, the 19th century theatrical illusion, the Pepper's ghost and in addition to two-dimensional scenography inside the peepshow, objects are included to better integrate the ghost image with its three-dimensional confines. LED lighting inside the cabinets is dynamically controlled and synchronised with the videotaped ghosts and further, ambisonic audio is delivered on headphones to promote a sense of immersion in the scene and an association of the viewer with focal characters.

关键词： Design theatre Set design Installation art Peepshow Pepper's ghost Embedded computing Ambisonics Binaural

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Using Foot and Knee Movement and Posture Information to Mitigate the Probability of Injuries in Functional Training 10th

Using Foot and Knee Movement and Posture Information to Miti...

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10th international conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (DHM) Held as Part of the 21st international conference on Human-Computer Interaction (HCII)

作者： Andre, Rafael de Pinho Raposo, Alberto Fuks, Hugo Pontificia Univ Catolica Rio De Janeiro Rio De Janeiro Brazil

ISBN: (纸本)9783030222154;9783030222161

Foot and Knee pain have been associated with numerous orthopedic pathologies and injuries of the lower limbs. From street running to CrossFit functional training, these common injuries correlate highly with unevenly distributed plantar pressure and knee positioning during long-term physical practice and can lead to severe orthopedic injuries if the movement pattern is not amended. therefore, the monitoring of foot plantar pressure distribution and the spatial and temporal characteristics of foot and knee positioning abnormalities is of utmost importance for injury prevention. this work proposes a wearable platform to provide real-time feedback of functional exercises, aiming to help users and physical educators to mitigate the probability of injuries during training. We conducted an experiment with 12 diverse volunteers to build a Human Activity recognition (HAR) classifier that achieved about 87% overall classification accuracy, and a second experiment to validate our physical evaluation model. Finally, we performed a semi-structured interview to evaluate usability and user experience issues regarding the proposed platform.

关键词： Human Activity recognition Health and ergonomics Wearable computing and sensing

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Algorithmic Identification of Tone Color A Comparison of Algorithmic Identification and Identification by Survey Respondents 10

Algorithmic Identification of Tone Color A Comparison of Alg...

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10th international conference on Digital and Interactive Arts (ARTECH)

作者： Haron, Anis Onn, Wong Chee Hin, Hew Soon Multimedia Univ Fac Creat Multimedia Cyberjaya Malaysia

ISBN: (纸本)9781450384209

Tone color is an important timbral descriptor for sound that is commonly referred to using semantic descriptors such as warm, dark and bright. this article introduces a novel algorithm using hidden Markov models to computationally identify a best fit semantic descriptor of tone color for a given sound file. the algorithm is developed using dataset annotated by trained individuals and tested against thousands of sound samples obtained from an online database. A survey is conducted to alongside the algorithm development in order to compare identification results from the algorithm against identification results by survey respondents. Results from the algorithm shows positive match in general suggesting its viability. Algorithmic identification of tone color finds its application in music production, where it can be used as a parameter recommendation tool for synthesizers.

关键词： Music Information Retrieval Tone color Timbre Sound and Music computing

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