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Multi-view based unlabeled data selection using feature transformation methods for semiboost learning.

, , and . Neurocomputing, (2017)

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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)On Optimizing Subclass Discriminant Analysis Using a Pre-clustering Technique.. CIARP, volume 5197 of Lecture Notes in Computer Science, page 292-300. Springer, (2008)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)PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection., , and . Comput. Stat., 31 (4): 1237-1262 (2016)Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)On selective learning in stochastic stepwise ensembles., , and . Int. J. Mach. Learn. Cybern., 11 (1): 217-230 (2020)Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification., , and . ICPRAM, page 166-173. SCITEPRESS, (2021)On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers., and . IEEE Trans. Pattern Anal. Mach. Intell., 27 (1): 136-141 (2005)On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods., and . IEEE Trans. Pattern Anal. Mach. Intell., 27 (3): 455-460 (2005)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)