Abstract. When using ICA for image separation, a well-known problem is that most often a large correlation exists between the sources. Because of this dependence, there is no more ...
Prediction of time series is an important problem in many areas of science and engineering. Extending the horizon of predictions further to the future is the challenging and diffic...
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
Abstract. This paper proposes a new vision-based system that can extract walking parameters from human demonstration. The system uses only a non-calibrated USB webcam connected to ...
Juan Pedro Bandera Rubio, Changjiu Zhou, Francisco...
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
A proper gait assessment in patients with knee or hip injuries strongly determines the diagnosis and consequently the evolution of the pathology, the quality of life of implanted p...