An HMM-based gesture recognition method trained on few samples

/in , , /by
An HMM-based gesture recognition method trained on few samples

Godoy, V., Britto, A. S., Koerich, A., Facon, J. and Oliveira, L. E. S..

In 2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI) (Limassol, Cyprus, Nov. 10-12, 2014)p. 640-646. Compte des citations dans Scopus : 6. 2014

You might also like
Convolutional STN for weakly supervised object localization and beyond
Symmetry structured analysis sparse coding for key frame extraction
Problemática del drenaje de aguas pluviales en zonas urbanas y del estudio hidráulico de las redes de colectores
Methodology for the design of NN-based month-word recognizers written on Brazilian bank checks
An extended-shadow-code based approach for off-line signature verification. I. Evaluation of the bar mask definition
Improving the reliability of music genre classification using rejection and verification
Volatility forecast by discrete stochastic optimization and genetic algorithms
Adversarially training for audio classifiers