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Signature identification via efficient feature selection and GPU-based SVM classifier.

, , and . IJCNN, page 1138-1145. IEEE, (2014)

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GPU-based fast clustering via K-Centres and k-NN mode seeking for geospatial industry applications., , , and . Comput. Ind., (2020)Towards adaptive learning with improved convergence of deep belief networks on graphics processing units., and . Pattern Recognit., 47 (1): 114-127 (2014)Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval., , and . IJCNN, page 1-6. IEEE, (2015)Non-negative Matrix Factorization Implementation Using Graphic Processing Units., and . IDEAL, volume 6283 of Lecture Notes in Computer Science, page 275-283. Springer, (2010)Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms., and . CIARP, volume 10125 of Lecture Notes in Computer Science, page 530-538. (2016)Machine Learning for Adaptive Multi-Core Machines. University of Coimbra, Portugal, (2014)A fast optimized semi-supervised non-negative Matrix Factorization algorithm., and . IJCNN, page 2495-2500. IEEE, (2011)High-performance bankruptcy prediction model using Graphics Processing Units., , and . IJCNN, page 1-7. IEEE, (2010)GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units., , and . HIS, page 229-232. IEEE, (2010)Extreme Learning Classifier with Deep Concepts., and . CIARP (1), volume 8258 of Lecture Notes in Computer Science, page 182-189. Springer, (2013)