Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...
In this paper we shortly discuss the K.U. Leuven time-series prediction competition, which has been held in the framework of the International Workshop on Advanced Black-Box Techni...
This research explores the interaction of textual and photographic information in document understanding. The problem of performing generalpurpose vision without apriori knowledge...
Feature modules are the building blocks of programs in software product lines (SPLs). A foundational assumption of feature-based program synthesis is that features are composed in...