( en | de | ru )

 

Disambiguation of "Kim, Sang-Woon"

Author of the publication

copydeleteadd this publication to your clipboard
Simply recycled selection and incrementally reinforced selection methods applicable for semi-supervised learning algorithms.

, and . ICEIC, page 1-2. IEEE, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Chung-Woon Kim

Moo Sang Kim

Oh-Sang Kim

Sang-Kyum Kim

Sang-Won Kim

 

Other publications of authors with the same name

On Optimizing Subclass Discriminant Analysis Using a Pre-clustering Technique.. CIARP, volume 5197 of Lecture Notes in Computer Science, page 292-300. Springer, (2008)On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure., and . CIARP, volume 6419 of Lecture Notes in Computer Science, page 418-425. Springer, (2010)A Comparative Study on the Sign-Language Communication Systems Between Korea and Japan Through 2D and 3D Character Models on the Internet., , , and . ICIP (4), page 227-231. IEEE, (1999)Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection., , and . Comput. Stat., 31 (4): 1237-1262 (2016)Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification., , and . ICPRAM, page 166-173. SCITEPRESS, (2021)On selective learning in stochastic stepwise ensembles., , and . Int. J. Mach. Learn. Cybern., 11 (1): 217-230 (2020)Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods., and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 1115-1121. Springer, (2004)Prototype reduction schemes applicable for non-stationary data sets., and . Pattern Recognit., 39 (2): 209-222 (2006)On incrementally using a small portion of strong unlabeled data for semi-supervised learning algorithms., and . Pattern Recognit. Lett., (2014)