A new fingerprint recognition approach based on features extracted from the wavelet domain is presented. The 64-subband structure proposed by the FBI WSQ standard is used to decompose the frequency of the image. The efficiency of the method is achieved by using the k-nearest neighbor (k-NN) classifier. The result is compared with other image-based methods. For compressed fingerprint images, thi...

abstract saturated hydraulic conductivity (ks) is needed for many studies related to water and solute transport, but often cannot be measured because of practical and/or cost-related reasons. nonparametric approaches are being used in various fields to estimate continuous variables. one type of the nonparametric lazy learning algorithms, a k-nearest neighbor (k-nn) algorithm, was introduced and...

K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for recognizing a new test, neighborhood classifier, few literatures are reported on. In this paper, we introduce neighborhood rough set model as a uniform framework to understand and implement neighborhood classifiers. T...

Deep neural networks (DNNs) have been widely applied to active learning. Despite of its effectiveness, the generalization ability discriminative classifier (the softmax classifier) is questionable when there a significant distribution bias between labeled set and unlabeled set. In this paper, we attempt replace in deep network with nearest neighbor classifier, considering progressive within unk...

The purpose of this study was to examine how different polarimetric parameters and an object-based approach influence the classification results of various land use/land cover types using fully polarimetric ALOS PALSAR data over coastal wetlands in Yancheng, China. To verify the efficiency of the proposed method, five other classifications (the Wishart supervised classification, the proposed me...

Millions of users share opinions on various topics using micro-blogging every day. Twitter is a very popular microblogging site where users are allowed a limit of 140 characters; this kind of restriction makes the users be concise as well as expressive at the same time. For that reason, it becomes a rich source for sentiment analysis and belief mining. The aim of this paper is to develop such a...