kernel-based classification method
Comparison of fuzzy integral fuzzy measure based ensemble algorithms with the state of the art ensemble algorithms
... combinations. Based on the expected potential of non-linear aggregation offered by the FI, its ap- plication to decision-level fusion in ensemble classifiers, ...sification method is the Decision-level ...
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Kernel Collaborative Representation Classification Based on Adaptive Dictionary Learning
... dictionary model with the sparse constraint framework. Aiming at the single sample problem, Wei C [23] proposed the auxiliary dictionary learning algorithm to expand the original dictionary and thus improve the ...
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Facial Expression Recognition via Kernel Sparse Representation
... features. kernel sparse representation classification was used to perform facial expression classification and compared with sparse representation-based classification, the nearest ...
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Title: A Novel Kernel Based Fuzzy C Means Clustering With Cluster Validity Measures
... Gaussian-function-based kernel fuzzy clustering is corrected, and a kernel fuzzy c-means clustering-based fuzzy SVM algorithm (KFCM-FSVM) is developed by [14] to deal with the ...
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Face Recognition Using Enhanced Kernel Based SVM Classification for Matching
... SVM Kernel classification implicitly combined with a distance-learning method in the transform subspace for face-recognition ...difficult classification tasks. The modified method SVM, ...
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UnibucKernel: A kernel based learning method for complex word identification
... the classification task, we can observe that the RBF kernel provides generally better results than the linear ...RBF kernel. Similarly, with a MAE of 0.0667 for the RBF kernel, we surpass the ...
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Chemical compound classification based on improved Max Min kernel
... Hash-key fingerprints, although they also result in a vector-based (and typically binary) representation, have a distinctly alternative method of generation from structure key fingerprints. Each atom in a ...
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An Efficient Kernel Optimization Method for Radar High-Resolution Range Profile Recognition
... Although kernel-based methods such as KPCA [1] can repre- sent complex nonlinear relations among targets, the choices of kernels and the kernel parameters still greatly influence the ...
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Multiple Kernel based KNN Classifiers for Vehicle Classification
... proposed classification algorithm will be very efficient in classifying different classes or types of vehicle for each of the test data ...the classification method the mul- tiple kernel ...
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Comparison Of Various Kernels Of Support Vector Machine
... the classification accuracy for the new data or the testing ...unsupervised classification, the pre-build model is used to predict the new data with no class ...of classification and was developed by ...
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Robust Classification of Primary Brain Tumor in MRI Images Based on Multi Model Textures Features and Kernel Based SVM
... and kernel based Support Vector ...proposed method is efficient for the classification of the human brain into normal and ...proposed method proved that the proposed algorithm graph is ...
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Iterative Kernel PCA based Classification of Retinal Images for Diabetic Macular Edema
... iterative kernel based PCA is proposed which is a novel method used for the classification purpose in diseased retinal ...evaluated based on classification ...iterative ...
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A Novel Image Annotation Method based on Kernel Methods for Structured Prediction
... rapid classification and annotation of huge volumes of digital images have been attracted much ...model based on structured machine learning, by introducing a learned kernel function in the sample ...
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Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure
... parsimonious kernel classifiers using the orthogonal forward selection method and boosting based on Fisher ratio for class separability ...most kernel classification methods, which ...
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Kernel Nearest Neigh-Bour Based Genetic Algorithm And Modified Kernel-Based Fuzzy C-Means Based MRI Image Brain Tumor Segmentation And Classification
... Best method to see the picture is the mind MRI that scientists depended on for recognizing the insight developments and displaying of the disease movement in together the revealing and the dealing with ...
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Title: Kernel Based Tagging Method Using Spatial Paradigm
... location based purely onthe content of the user's tweets, even in the absence of anyother geospatial ...a classification component for automatically identifying words in tweets with a strong localgeo-scope; ...
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Combined Features based Spatial Composite Kernel Formation for Hyperspectral Image Classification
... proposed method, a sample Hyper Spectral Image which is taken over northwest Indiana‟s Indian pine test site is ...The classification details with training information are shown in Table ...
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Naive Bayes Classification Based Facial Expression Recognition With Kernel PCA Features
... biometric method which is automated approach to verify the identification of the human being based on his characteristics like, fingerprint, iris pattern, or ...
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An Analog Circuit Diagnosis Method Based on Adaptive-Kernel ICA
... of kernel function used to constructs an adaptive hybrid kernel ...the method, in this paper, we studied the linear Salley-key band-pass filter though an ...single kernel function, the ...
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A Sampling Method Based on Gauss Kernel Learning and the Expanding Research
... sampling method not only increases the samples and reduce the data imbalance, but also extend the convex hull formed by the positive class ...the classification hyperplane obtained from SVM training shift ...
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