Exploració per tema "GMM"
Ara es mostren els items 1-7 de 7
-
Development of an application for the generation of robot trajectories based on learning by demonstration techniques
(Universitat Politècnica de Catalunya, 2017-01)
Projecte Final de Màster Oficial
Accés obertThe need of designing and implementing software to prepare robots for the execution of new tasks implies an expensive cost that requires specific hardware, software and knowledge. Learning by demonstration is a paradigm ... -
Expectation Maximitzation per a arbres filogenètics|
(Universitat Politècnica de Catalunya, 2011-02)
Projecte Final de Màster Oficial
Accés obertAnàlisi exhaustiu del mètode EM aplicat a la reconstrucció filogenètica. Aplicació del mètode per a la reconstrucció de topologies sobre dades simulades sota un model K3. Aplicació i comparació amb altres mètodes de ... -
Learning force-based robot skills from haptic demonstration
(IOS Press, 2010)
Text en actes de congrés
Accés obertLocally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstration. Input streams other than visual ... -
Low-power architectures for automatic speech recognition
(Universitat Politècnica de Catalunya, 2018-02-21)
Tesi
Accés obertAutomatic Speech Recognition (ASR) is one of the most important applications in the area of cognitive computing. Fast and accurate ASR is emerging as a key application for mobile and wearable devices. These devices, such ... -
Performance of channel estimation schemes in the presence of gaussian mixture model
(2021-09-01)
Article
Accés obertChannel estimation (CE) plays a crucial role in establishing a wireless link, specifically at the receiver node. Most of the receivers that estimate the channel is in the presence of AWGN. However, these schemes perform ... -
Region based foreground segmentation combining color and depth sensors via logarithmic opinion pool decision
(2013-04-01)
Article
Accés restringit per política de l'editorialIn this paper we present a novel foreground segmentation system that combines color and depth sensors information to perform a more complete Bayesian segmentation between foreground and background classes. The system shows ... -
Sharpening haptic inputs for teaching a manipulation skill to a robot
(2010)
Text en actes de congrés
Accés obertGaussian mixtures-based learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstration (PbD). Input streams other than visual information, as used ...