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As very common disorder, Alzheimer's disease (AD) brings many health problems for the older people. Predicting mild cognitive impairment (MCI), a progression stage intermediated between normal status and dementia, in patients who have some symptoms of cognitive decline which can have significance influence on treatment choice. In this work, a novel hierarchical PCA-SVM (Principal component analysis-support...
Our paper takes the stance that a 3D shaded display can add a significant amount of information to the visualization of high-dimensional data. We believe that it makes better use of the innate cognitive capabilities of the human visual system which is highly optimized to recognize and reason with 3D shape information. As a first step we studied a variety of real-world datasets and confirmed that the...
Feature extraction from high-dimensional synthetic aperture radar (SAR) images is one of the crucial steps for SAR automatic target recognition (ATR). In this paper, we propose a new approach to SAR images feature extraction named Two-dimensional Principal Component Analysis-based Two-dimensional Maximum Interclass Distance Embedding (2DPCA-based 2DMIDE) which is based on manifold learning theory...
The automatic recognition of images has been always one of preceding issues in the filed of remote sensing. From traditional algorithm of K-Means, maximum likelihood to new decision tree, neural networks, wavelet transform and fuzzy recognition system, the classification accuracy has been improved. In this work, based on Decision Tree Classification (DTC) and Landsat ETM+ data, Ejina Oasis land cover...
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