Sciweavers

502 search results - page 77 / 101
» Computational model for amygdala neural networks
Sort
View
IJCNN
2008
IEEE
16 years 15 days ago
Spatiotemporal feature extraction based on invariance representation
— This paper investigates spatiotemporal feature extraction from temporal image sequences based on invariance representation. Invariance representation is one of important functi...
Wenlu Yang, Liqing Zhang
ECCV
2000
Springer
16 years 8 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
MM
1999
ACM
176views Multimedia» more  MM 1999»
15 years 10 months ago
Modeling focus of attention for meeting indexing
—A user’s focus of attention plays an important role in human–computer interaction applications, such as a ubiquitous computing environment and intelligent space, where the u...
Rainer Stiefelhagen, Jie Yang, Alex Waibel
IJCNN
2006
IEEE
16 years 3 days ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
ICANN
2009
Springer
15 years 10 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios