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Sparse coding has shown its great potential in learning image feature representation. Recent developed methods such as group sparse coding prefer discovering the group relationships among examples and have achieved the state-of-the-art results in image classification. However, they suffer from poor robustness shortcomings in practice. This paper proposes a robust weighted supervised sparse coding...
Treatment based on the syndrome differentiation is the key of traditional Chinese medicine (TCM) treating acquired immune deficiency syndrome (AIDS). Syndrome differentiation, where the patients suffering from a western medicine disease are divided into several classes based on their symptoms and signs, is an important diagnostic method and affects the effective use of TCM treatments. Some researches...
A novel approach to construct fuzzy classification system based on fuzzy association rules is proposed in this paper. Competitive agglomeration algorithm is employed to partition quantitative attributes from each data record into several optimized fuzzy sets, resulting in an initial fuzzy classification system. A fuzzy classification system with high accuracy and interpretability can be further achieved...
Aiming at the problem of the traditional feature selection that threshold filtering loses a lot of effective architectural information and to improve the precise of Chinese architectural document classification, a new algorithm based on rough set and C4.5Bagging is proposed for Chinese architectural document categorization. Firstly the cores of attribute are found by discernibility matrix and one...
Feature selection is an important application in the field of Chinese text categorization. However, the traditional Chinese feature selection methods are based on conditional independence assumption; therefore there are many redundancies in feature subsets. In this paper a combined feature selection method of Chinese text is proposed and this method is designed by the regularized mutual information...
Detailed geometric modeling from images is very important but extremely complex and computationally expensive. In this paper we present an algorithm for large-scale urban terrestrial geometric modeling from videos. In the proposed approach, we classify and segment the contents of images based on the knowledge about the scene. Then the segments of each image are aligned to similar segments of the consecutive...
In aerial images, road network is the most salient artificial object, and could provide lots of geographical information. Thus it is very valuable for navigation systems,e.g. cruise missile or UAV(unmanned Aerial Vehicle) navigation system. With the presence of GIS in which road network is also the most common data, the position of aerial image can be located by matching it with a model generated...
In order to improve the precise rate and recall rate of Chinese text classifier, an improved bagging algorithm - attribute bagging is used in this paper. Document is represented by vector space model and information gain is used to do the feature selection. Re-sampling attributes is used to get multiple training sets and the kNN is selected as the individual classifier. The classification result is...
In order to improve the classification performance of classifiers, an approach of multiple classifiers ensemble based on feature selection (FSCE) is proposed in the paper. After attributes of the training data set are specially selected, the new data set is mapped into new training data sets. There is the number of attributes (the class attribute excepted) of the new data sets. Then classifiers with...
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