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检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
585 条 记 录,以下是401-410 订阅
排序:
Combining fisher linear discriminants for dissimilarity representations  1
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1st international workshop on Multiple Classifier Systems, MCS 2000
作者: Pȩkalska, Elzbieta Skurichina, Marina Duin, Robert P.W. Pattern Recognition Group Department of Applied Physics Faculty of Applied Sciences Lorentzweg 1 2628 CJ Delft Netherlands
Investigating a data set of the critical size makes a classification task difficult. studying dissimilarity data refers to such a problem, since the number of samples equals their dimensionality. In such a case, a sim... 详细信息
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Early Experiences with Crowdsourcing Airway Annotations in Chest CT  1st
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2nd international workshop on Deep learning in Medical Image Analysis (DLMIA) / 1st international workshop on Large-Scale Annotation of Biomedical data and Expert Label Synthesis (LABELS)
作者: Cheplygina, Veronika Perez-Rovira, Adria Kuo, Wieying Tiddens, Harm A. W. M. de Bruijne, Marleen Erasmus MC Biomed Imaging Grp Rotterdam Dept Med Informat Rotterdam Netherlands Erasmus MC Dept Radiol Rotterdam Netherlands Delft Univ Technol Pattern Recognit Lab Delft Netherlands Sophia Childrens Univ Hosp Erasmus Med Ctr Dept Pediat Pulmonol & Allergol Rotterdam Netherlands Erasmus MC Dept Radiol Rotterdam Netherlands Univ Copenhagen Dept Comp Sci Image Sect Copenhagen Denmark
Measuring airways in chest computed tomography (CT) images is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually. machine learning algorithms offer an alternativ... 详细信息
来源: 评论
Online Audience Measurement System Based on machine learning Techniques
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1st international workshop on Video Analytics for Audience Measurement (VAAM)
作者: Khryashchev, Vladimir Priorov, Andrey Ganin, Alexander PG Demidov Yaroslavl State Univ Yaroslavl Russia
An application for video data analysis based on computer vision methods is presented. The proposed system consists of five consecutive stages: face detection, face tracking, gender recognition, age classification and ... 详细信息
来源: 评论
machine learning and dataming Algorithms for Predicting Accidental Small Forest Fires  5
Machine Learning and Dataming Algorithms for Predicting Acci...
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5th international Conference on Sensor Technologies and Applications (SENSORCOMM) / 1st international workshop on Sensor Networks for Supply Chain Management (WSNSCM)
作者: Iyer, Vasanth Iyengar, S. Sitharama Paramesh, N. Murthy, Garmiela Rama Srinivas, Mandalika B. Int Inst Informat Technol Hyderabad 500032 India Louisiana State Univ Baton Rouge LA 70803 USA Univ New South Wales Sydney Australia Brila Inst Technol & Sci Hyderabad 500078 India
Extracting useful temporal and spatial patterns from sensor data has been seen before, the technical basis of machine learning with data mining is studied with the evidence collected uniformly over many years and whic... 详细信息
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A fast SVM training algorithm  1st
A fast SVM training algorithm
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1st international workshop on pattern recognition with Support Vector machines, SVM 2002
作者: Dong, Jian-Xiong Krzyżak, Adam Suen, Ching Y. Centre for Pattern Recognition and Machine Intelligence Concordia University MontrealQCH3G 1M8 Canada Department of Computer Science Concordia University 1455 de Maisonneuve Blvd. W MontrealQCH3G 1M8 Canada
A fast support vector machine (SVM) training algorithm is proposed under the decomposition framework of SVM’s algorithm by effectively integrating kernel caching, digest and shrinking policies and stopping conditions... 详细信息
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The distribution problem of unstructured data when solving data mining tasks on computer clusters  1
The distribution problem of unstructured data when solving d...
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1st international Conference of Information Systems and Design, ICID 2019
作者: Zein, Ali Najyevich Borisova, Svetlana Vyacheslavovna Moscow Power Engineering Institute National Research University Krasnokazarmennaya 14 Moscow Russia
In the modern world, the amount of information is growing exponentially, with every minute new data appears for further storage, processing and *** data sources generate huge amounts of data and most of them are prese... 详细信息
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Unsupervised Representation learning with Attention and Sequence to Sequence Autoencoders to Predict Sleepiness from Speech  1
Unsupervised Representation Learning with Attention and Sequ...
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1st international Multimodal Sentiment Analysis in Real-Life Media Challenge and workshop, MuSe 2020
作者: Amiriparian, Shahin Winokurow, Pawel Karas, Vincent Ottl, Sandra Gerczuk, Maurice Schuller, Björn Chair of Embedded Intelligence for Health Care and Wellbeing University of Augsburg Augsburg Germany
Motivated by the attention mechanism of the human visual system and recent developments in the field of machine translation, we introduce our attention-based and recurrent sequence to sequence autoencoders for fully u... 详细信息
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Experimental evaluation on machine learning techniques for human activities recognition in digital education context  1
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1st international workshop on Social Computing in Digital Education, SOCIALEDU 2015
作者: Leitão, Gabriel Colonna, Juan Ribeiro, Erick Barreto, Raimundo Araujo, Thierry-Yves Martins, Anny Koster, Andrew Koch, Fernando Manaus Brazil Samsung Research Institute CampinasSP France
This paper describes an experimental evaluation of the main machine learning supervised techniques to be used for the human activities recognition in the context of technological education using data collected from sm... 详细信息
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Optimal Feature Subset Selection for pattern Classification and recognition Using Spectral Entropy as a Complexity Measure from Alcohol and Sleep EEG data  1
Optimal Feature Subset Selection for Pattern Classification ...
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1st IEEE international Conference on Innovations in High Speed Communication and Signal Processing, IHCSP 2023
作者: Singh, Takveer Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India
The quantity of unprocessed data in multi-channel EEG analysis is enormous. Most datasets have some level of noise or redundancy, which could lower the accuracy of any relevant features that are uncovered. This result... 详细信息
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Efficient Large Scale Medical Image dataset Preparation for machine learning Applications  1
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1st MICCAI international workshop on data Engineering in Medical Imaging (DEMI)
作者: Denner, stefan Scherer, Jonas Kades, Klaus Bounias, Dimitrios Schader, Philipp Kausch, Lisa Bujotzek, Markus Bucher, Andreas Michael Penzkofer, Tobias Maier-Hein, Klaus German Canc Res Ctr Div Med Image Comp Heidelberg Germany Heidelberg Univ Med Fac Heidelberg Heidelberg Germany Heidelberg Univ Hosp Dept Radiat Oncol Pattern Anal & Learning Grp Heidelberg Germany Natl Ctr Tumor Dis NCT Heidelberg Germany Goethe Univ Frankfurt Univ Hosp Inst Diagnost & Intervent Radiol Frankfurt Germany Charite Univ Med Berlin Dept Radiol Berlin Germany
In the rapidly evolving field of medical imaging, machine learning algorithms have become indispensable for enhancing diagnostic accuracy. However, the effectiveness of these algorithms is contingent upon the availabi... 详细信息
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