GENERATIVE EMBEDDINGS BASED ON RICIAN MIXTURES: APPLICATION TO KERNEL-BASED DISCRIMINATIVE CLASSIFICATION OF MAGNETIC RESONANCE IMAGES Anna C. Carli1 , M´ario A. T. Figueiredo2 , Manuele Bicego1,3 and Vittorio Murino1,3

First Page		Document Content
Date: 2013-03-19 09:37:42 Probability and statistics Statistical mechanics Tsallis statistics Fisher kernel Tsallis entropy Support vector machine Rice distribution Embedding Jensen Statistics Mathematics Statistical classification		GENERATIVE EMBEDDINGS BASED ON RICIAN MIXTURES: APPLICATION TO KERNEL-BASED DISCRIMINATIVE CLASSIFICATION OF MAGNETIC RESONANCE IMAGES Anna C. Carli1 , M´ario A. T. Figueiredo2 , Manuele Bicego1,3 and Vittorio Murino1,3 Add to Reading List Source URL: profs.sci.univr.it Download Document from Source Website File Size: 141,94 KB Share Document on Facebook

	Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015 DocID: 1uEDY - View Document
	Support Vector Machines and Kernel Methods Shrey Gupta Applied Machine Learning (HOUSECS 59-01), Duke University October 10, 2018 DocID: 1uA0f - View Document
	Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop DocID: 1uuGd - View Document
	Support Vector Machine for Anti-Pattern Detection Abdou Maiga1,3 , Nasir Ali1,2 , Neelesh Bhattacharya1,2 , Aminata Sabané1,2 Yann-Gaël Guéhéneuc1 , Giuliano Antoniol2 , and Esma Aimeur3 1 Ptidej Team, DGIGL, École DocID: 1tZPb - View Document
	Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015 DocID: 1tVBH - View Document