A unified, coherent treatment of current classifier ensemble methods, from fundamentals of
pattern recognition to ensemble feature selection, now in its second edition The art and …

在集成学习中, 基分类器之间的多样性对于解释多分类器系统的工作机理和构造有效的集成系统
具有重要的作用, 但至今仍没有统一的度量多样性的方法. 首先总结介绍常用的多样性度量方法 …

In this work we propose a hybrid NN/HMM model for online Arabic handwriting recognition.
The proposed system is based on Hidden Markov Models (HMMs) and Multi Layer …

Polarimetric SAR (PolSAR) image processing has become a hot research topic in SAR
remote sensing field in recent years. However, due to the complexity of the image and …

Multimodal biometric methods use different fusion techniques to avoid authentication
problems such as noisy sensors data, nonuniversality, and unacceptable error rates. Fusion …

The paper presents an approach to applying a classifier ensemble to identify human body
gestures, so as to control a robot to write Chinese characters. Robotic handwriting ability …

In this paper, a novel multi-objective genetic algorithm (MOGA) based approach is proposed
for effective intrusion detection based on benchmark datasets. The proposed approach can …

There have been several methods developed to construct ensembles. Some of these
methods, such as Bagging and Boosting are meta-learners, ie they can be applied to any …

To learn any problem, many classifiers have been introduced so far. Each of these
classifiers has many strengths (positive aspects) and weaknesses (negative aspects) that …

Face photo-to-sketch synthesis has helpful applications on each digital entertainment and
law enforcement. This paper presents an efficient algorithm formatting sketches with a face …