We investigate several feature normalization and scaling approaches for use in speaker verification based on support vector machines. We are particularly interested in methods th...
Andreas Stolcke, Sachin S. Kajarekar, Luciana Ferr...
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
— We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative suppor...
Ville Kyrki, Isabel Serrano Vicente, Danica Kragic...
— We introduce a method based on support vector machines which can detect opening and closing actions of the human thumb, index finger, and other fingers recorded via surface E...