Efficient design of social networking applications must take account of two guiding principles: the adaptive processes by which humans learn and spread new information, and the co...
Ali Saidi, Mahesh V. Tripunitara, Mojdeh Mohtashem...
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
LON-CAPA is a distributed open-source Learning Content Management and Assessment System that provides instructors with a common, scalable platform to assist in several aspects of ...
Gerd Kortemeyer, Guy Albertelli, Wolfgang Bauer, F...
This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhan...