The objective of multimodal information fusion is to mathematically analyze information
carried in different sources and create a new representation that will be more effectively …

Nowadays, with the advances and use of technological possibilities and devices, the
number of digital images is increasing gradually. Computer-aided classification of image …

在极限学习机(ELM) 网络结构和训练模式的基础上, 该文提出了相关熵融合极限学习机(CF-
ELM). 针对多数分类方法中表示级特征融合不充分的问题, 该文将核映射与系数加权相结合 …

Based on the network structure and training methods of extreme learning machines, extreme
learning machine combining hidden-layer feature weighting and batch training (ELM-WB) is …

In order to improve the accuracy of image classification problem, this paper proposes a new
classification method based on image feature extraction and neural network. The method …

Content-based medical image retrieval (CBMIR) is a technique for retrieving medical images
based on automatically derived image features. There are many applications of CBMIR …

Based on the network structure and training methods of the Extreme Learning Machine
(ELM), Correntropy-based Fusion Extreme Learning Machine (CF-ELM) is proposed …

Conventional approaches to global localization and navigation mainly rely on metric maps
to provide precise geometric coordinates, which may cause the problem of large-scale …

Food recognition is an emerging research area in object recognition which has grown
substantially in the era of the smartphones and social media services. The advancement of …

Large remote sensing image segmentation is a crucial issue in object-based image
analysis. It is common sense that a segmentation framework consists of three …