Sciweavers

1707 search results - page 332 / 342
» Modeling spiking neural networks
Sort
View
IJCNN
2007
IEEE
14 years 2 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
UMUAI
2010
136views more  UMUAI 2010»
13 years 6 months ago
Towards affective camera control in games
Information about interactive virtual environments, such as games, is perceived by users through a virtual camera. While most interactive applications let users control the camera,...
Georgios N. Yannakakis, Héctor Perez Mart&i...

Book
778views
15 years 5 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
NECO
2007
127views more  NECO 2007»
13 years 7 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
ATC
2010
Springer
13 years 6 months ago
Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace
Co-Space refers to interactive virtual environment modelled after the real world we are situated in. Through realistic 3D modelling and animation technologies, Co-Space simulates t...
Ah-Hwee Tan, Yilin Kang