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Peter Tino

Showing results (11-20 of 53) with videos related to

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Neural Computation|January 13, 2022
Manifold Alignment Aware Ants: A Markovian Process for Manifold ExtractionMohammad Mohammadi, Peter Tino, Kerstin Bunte
Neural Computation|February 18, 2006
Learning beyond finite memory in recurrent networks of spiking neuronsPeter Tino, Ashely J S Mills
IEEE Transactions on Neural Networks|April 29, 2009
Probabilistic classification vector machinesHuanhuan Chen, Peter Tino, Xin Yao
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Efficient probabilistic classification vector machine with incremental basis function selectionHuanhuan Chen, Peter Tino, Xin Yao
Computers in Biology and Medicine|October 15, 2024
Optimal electrode placements for localizing premature ventricular contractions using a single dipole cardiac source modelBeata Ondrusova, Peter Tino, Jana Svehlikova
Frontiers in Physiology|September 25, 2023
A two-step inverse solution for a single dipole cardiac sourceBeata Ondrusova, Peter Tino, Jana Svehlikova
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2020
Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD MatricesFengzhen Tang, Mengling Fan, Peter Tino
Physical Review. E|May 17, 2017
Classification framework for partially observed dynamical systemsYuan Shen, Peter Tino, Krasimira Tsaneva-Atanasova
Neural Computation|August 16, 2006
Dynamics and topographic organization of recursive self-organizing mapsPeter Tino, Igor Farkas, Jort van Mourik
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
A spatial mixture approach to inferring sub-ROI spatio-temporal patterns from rapid event-related fMRI dataYuan Shen, Stephen Mayhew, Zoe Kourtzi, et al.
Pageof 6

Showing results (11-20 of 53) with videos related to

Sort By:
Pageof 6
Neural Computation|January 13, 2022
Manifold Alignment Aware Ants: A Markovian Process for Manifold ExtractionMohammad Mohammadi, Peter Tino, Kerstin Bunte
Neural Computation|February 18, 2006
Learning beyond finite memory in recurrent networks of spiking neuronsPeter Tino, Ashely J S Mills
IEEE Transactions on Neural Networks|April 29, 2009
Probabilistic classification vector machinesHuanhuan Chen, Peter Tino, Xin Yao
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Efficient probabilistic classification vector machine with incremental basis function selectionHuanhuan Chen, Peter Tino, Xin Yao
Computers in Biology and Medicine|October 15, 2024
Optimal electrode placements for localizing premature ventricular contractions using a single dipole cardiac source modelBeata Ondrusova, Peter Tino, Jana Svehlikova
Frontiers in Physiology|September 25, 2023
A two-step inverse solution for a single dipole cardiac sourceBeata Ondrusova, Peter Tino, Jana Svehlikova
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2020
Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD MatricesFengzhen Tang, Mengling Fan, Peter Tino
Physical Review. E|May 17, 2017
Classification framework for partially observed dynamical systemsYuan Shen, Peter Tino, Krasimira Tsaneva-Atanasova
Neural Computation|August 16, 2006
Dynamics and topographic organization of recursive self-organizing mapsPeter Tino, Igor Farkas, Jort van Mourik
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
A spatial mixture approach to inferring sub-ROI spatio-temporal patterns from rapid event-related fMRI dataYuan Shen, Stephen Mayhew, Zoe Kourtzi, et al.
Pageof 6