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Data-Driven Multi-modal Haptic Rendering Combining Force, Tactile, and Thermal Feedback.

, , , and . AsiaHaptics, volume 535 of Lecture Notes in Electrical Engineering, page 69-74. Springer, (2018)

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Motion Detection in Complex and Dynamic Backgrounds., , , , and . PSIVT, volume 4319 of Lecture Notes in Computer Science, page 545-552. Springer, (2006)Data-Driven Multi-modal Haptic Rendering Combining Force, Tactile, and Thermal Feedback., , , and . AsiaHaptics, volume 535 of Lecture Notes in Electrical Engineering, page 69-74. Springer, (2018)Iris Segmentation and Recognition., and . Int. J. Fuzzy Log. Intell. Syst., 2 (3): 227-230 (2002)Competitive learning neural network with dynamic output neuron generation., , , , and . Neural Parallel & Scientific Comp., 2 (4): 431-450 (1994)Haptic texture rendering using random fractal surface., , and . URAI, page 290-292. IEEE, (2017)Iris Recognition Using a Low Level of Details., , , and . ISVC (2), volume 4292 of Lecture Notes in Computer Science, page 196-204. Springer, (2006)3-540-48628-3.Iris Recognition Using Wavelet Features., , , and . VLSI Signal Processing, 38 (2): 147-156 (2004)Just Say the Name: Online Continual Learning with Category Names Only via Data Generation., , , , and . CoRR, (2024)Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks., , and . ISNN (1), volume 3971 of Lecture Notes in Computer Science, page 456-463. Springer, (2006)Fast competitive learning with classified learning rates for vector quantization., , and . Signal Process. Image Commun., 6 (6): 499-505 (1995)