[PDF] Top 20 Comparison of support vector machine and object based classification methods for coastline detection
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Comparison of support vector machine and object based classification methods for coastline detection
... image classification can be performed in different ways ...distribution of the training data, but try to separate the different classes by directly searching for adequate boundaries between them (Keuchela, ... See full document
3
A Computer Aided Diagnosis System for Lung Cancer Detection Using Support Vector Machine
... cancer based on helical CT ...presented and the CT screening system used was a TCT-900 super helix of the Toshiba ...new and automatic technique for an early diagnosis of lung cancer ... See full document
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SUPERPIXEL-BASED UNSUPERVISED CHANGE DETECTION USING MULTI-DIMENSIONAL CHANGE VECTOR ANALYSIS AND SVM-BASED CLASSIFICATION
... change detection result obtained from using only spectral ...change detection result using tex- tural ...differences of two images, especially for the superpixels around the boundaries of the ... See full document
6
J. Braz. Chem. Soc. vol.23 número11
... aim of this study was to setup QSPR (quantitative structure-property relationship) models, indicating the relationship of structural characteristics and physicochemical property with the ... See full document
8
Biased Support Vector Machines and Kernel Methods for Intrusion Detection
... robustness and generalization capabilities of kernel methods in detecting intrusions using network audit ...traditional support vector machines (SVM), biased support ... See full document
5
Fire Detection Using Support Vector Machine in Wireless Sensor Network and Rescue Using Pervasive Devices
... a classification, and our data has a categorical target variable with two ...value of one predictor on the X axis and the other on the Y axis we might end up with an image such as shown ... See full document
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Support vector machine-based classification of neuroimages in Alzheimer’s disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals
... ings of brain atrophy – variably detected in cognitively preserved elderly subjects – may complicate the discri- mination when SVM methods are ...indices of neurofunctional data relative to ... See full document
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A comparison of four data selection methods for artificial neural networks and support vector machines
... many machine learning and data mining problems two basic tasks have to be considered: feature selection and instance ...subset of all available features so that the selected subset has the ... See full document
6
A multi-label learning based kernel automatic recommendation method for support vector machine.
... multi-label classification (MLC) [34–36] has been widely applied in semantic annotation [37, 38], tag recommendation [39], rule mining [40], and information re- trieval [41, ...multi-label ... See full document
30
Surface Electromyography-Based Facial Expression Recognition in Bi-Polar Configuration
... recently and it has become a significant issue in diagnostic and medical fields, particularly in the areas of assistive technology and ...contrast and quality of video and ... See full document
9
MULTI-LABEL CLASSIFICATION OF PRODUCT REVIEWS USING STRUCTURED SVM
... a Support Vector Machine (SVM) learning algorithm for predicting multivariate or structured ...in classification and regression, SSVM can predict complex objects like trees, sequences ... See full document
8
Morphological analysis of dendrites and spines by hybridization of ridge detection with twin support vector machine
... morphology of dendritic spines and dendrites has a strong relationship to its function, as well as playing an important role in understanding brain ...analysis of dendrites and dendritic ... See full document
19
Detection of Alzheimer’s disease by displacement field and machine learning
... performance of ANN, in terms of classification of medical images, using wavelets as feature ...Their classification accuracy achieved ...proximal support vector ... See full document
29
RESEARCHES ON THE LAND-USE CHANGE DETECTION OF MINE AREA BASED ON TM/ETM IMAGES
... the detection of land use change, multi-temporal RS images of the same areas mainly serve three purpose:1)providing the ground feature distribution; 2)describing the change information; 3)analyzing ... See full document
11
Classification of Brain Tumor Using Support Vector Machine Classfiers
... for classification falls into two ...(ANN), Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) Algorithm which are used for ...for classification as it gives better ... See full document
5
Fruit recognition and classification based on SVM method for production prediction of peaches
... A vector median filter is applied to remove the noise of apples’ color ...method based on region growing and color feature is ...color and shape features of the image, a new ... See full document
8
An object based approach for coastline extraction from Quickbird multispectral images
... can support coastline detection: for example Band 5 ...µm) of Landsat TM shows great differences of BV for land and sea because vegetation and soil reflect the energy in ... See full document
7
A novel support vector machine-based approach for rare variant detection.
... error and power results of the proposed BSVM method obtained with the proposed RM weighting and the weight functions from four different methods: namely, the weighted-sum test (WSt) [4], the ... See full document
9
Mammalian microRNA prediction through a support vector machine model of sequence and structure.
... miRNAs and 475 known human miRNAs in the May 2007 release of the miRBase database, the majority of which are conserved between the two ...number of recent reports imply that it is likely that ... See full document
15
Specific Land Cover Class Mapping by Semi-Supervised Weighted Support Vector Machines
... sub-set of classes presented in the study ...multi-class classification may lead to a considerable training effort and to the underestimation of the classes of ...extension of ... See full document
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