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1. Improvements in the Imbalanced Hemogram Data Classification NSTL国家科技图书文献中心

Phuoc-Hai Huynh |  Ngoc-Minh Nguyen... -  《Proceeding of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics》 -  International Conference on Electronics, Biomedical Engineering, and Health Informatics - 2024, - 347~359 - 共13页

摘要:The exponential growth of hospital information systems (HIS) has led to the accumulation of vast amounts of medical data, necessitating effective analysis methods to enhance the quality and efficiency...
关键词: Machine learning |  Classification |  Random forest |  SMOTE |  Hemogram blood test |  Medical informatics

3. Large Scale Image Classification with Many Classes, Multi-features and Very High-Dimensional Signatures NSTL国家科技图书文献中心

Thanh-Nghi Doan |  Thanh-Nghi Do... -  《Advanced computational methods for knowledge engineering /》 -  International Conference on Computer Science, Applied Mathematics and Applications - 2013, - 105~116 - 共12页

摘要:The usual frameworks for image classification involve three steps: extracting features, building codebook and encoding features, and training the classifiers with a standard classification algorithm. ...
关键词: Large Scale Visual Classification;;High Performance Computing;;Balanced Bagging;;Parallel Support Vector Machines
NSTL主题词: Image classification |  signatures |  Classes |  scales |  Scale |  Scale formation

4. Large Scale Visual Classification with Many Classes NSTL国家科技图书文献中心

Thanh-Nghi Doan |  Thanh-Nghi Do... -  《Machine learning and data mining in pattern recognition :》 -  International Conference on Machine Learning and Data Mining in Pattern Recognition - 2013, - 629~643 - 共15页

摘要:The usual frameworks for visual classification involve three steps: extracting features, building codebook and encoding features, and training classifiers. The current release of ImageNet dataset [1] ...
关键词: Large Scale Visual Classification;;High Performance Computing;;Sampling Strategy;;Parallel Support Vector Machines.
NSTL主题词: Classes |  Visualization |  scales |  Scale |  Scale formation

5. Large Scale Visual Classification with Many Classes NSTL国家科技图书文献中心

Thanh-Nghi Doan |  Thanh-Nghi Do... -  《Machine learning and data mining in pattern recognition: 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25 2013, Proceedings》 -  World Congress on Frontiers in Intelligent Data and Signal Analysis - 2013, - 629~643 - 共15页

摘要:The usual frameworks for visual classification involve three steps: extracting features, building codebook and encoding features, and training classifiers. The current release of ImageNet dataset [1] ...
关键词: Large Scale Visual Classification |  High Performance Computing |  Sampling Strategy |  Parallel Support Vector Machines
NSTL主题词: Visualization |  Taxonomy |  Scale formation |  Classes |  scales |  Scale

6. Multi-way Classification for Large Scale Visual Object Dataset NSTL国家科技图书文献中心

Thanh-Nghi Doan |  Thanh-Nghi Do... -  《2013 11th International workshop on content-based multimedia indexing: CBMI 2013, Veszprém, Hungary, 17-19 June 2013》 -  International Workshop on Content-Based Multimedia Indexing - 2013, - 185~190 - 共6页

摘要:ImageNet dataset [1] with more than 14M images and 21K classes makes the problem of visual classification more difficult to deal with. One of the most difficult tasks is to train a fast and accurate c...
关键词: SVM |  ILSVRC |  Object Dataset
NSTL主题词: way sort |  Dataset |  Visualization |  Scale formation

7. Large Scale Visual Classification with Parallel, Imbalanced Bagging of Incremental LIBLINEAR SVM NSTL国家科技图书文献中心

Thanh-Nghi Doan |  Thanh-Nghi Do... -  《Proceedings of the 2013 international conference on pata mining: DMIN 2013, July 22-25, 2013, Las Vegas Nevada, USA》 -  International Conference on Data Mining - 2013, - 197~203 - 共7页

摘要:ImageNet dataset with more than 14M images and 21K classes makes the problem of visual classification more difficult to deal with. One of the most difficult tasks is to train a fast and accurate class...
关键词: Support Vector Machines |  Incremental Learning Method |  Balanced Bagging |  High Performance Computing
NSTL主题词: bagging |  PURSE |  Support Vector Network |  Incremental |  Visualization |  Parallel Lines |  Taxonomy |  Scale formation

9. Parallel incremental SVM for classifying million images with very high-dimensional signatures into thousand classes NSTL国家科技图书文献中心

Thanh-Nghi Doan |  Thanh-Nghi Do... -  《2013 International joint conference on neural networks: IJCNN 2013 - Dallas, Dallas, Texas, USA, 4-9 August 2013, pages 2352-3125, [v.4]》 -  International Joint Conference on Neural Networks - 2013, - 2969~2976 - 共8页

摘要:ImageNet dataset [1] with more than 14M images and 21K classes makes the problem of visual classification more difficult to deal with. One of the most difficult tasks is to train a fast and accurate c...
关键词: thousand classes |  PmSVM |  visual classification
NSTL主题词: Support Vector Network |  Information management |  Creating metadata |  Incremental |  Parallel Lines |  signatures |  images
检索条件作者:Thanh-Nghi Doan

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