نتایج جستجو برای: sparse non

تعداد نتایج: 1367563  

Journal: :acta medica iranica 0
alireza ghanadan department of pathology, razi hospital, tehran university of medical sciences, tehran, iran. kambiz kamyab department of pathology, razi hospital, tehran university of medical sciences, tehran, iran. mazaher ramezani department of pathology, kermanshah university of medical sciences, kermanshah, iran. azadeh goodarzi department of dermatology, razi hospital, tehran university of medical scienses, tehran, iran. maryam daneshpajouh department of dermatology, razi hospital, tehran university of medical sciences, tehran, iran. kamran balighi department of dermatology, razi hospital, tehran university of medical sciences, tehran, iran.

indeterminate cell histiocytosis is a very rare disorder of histiocytes proliferation. it has both langerhans and non-langerhans cell histiocytosis immunophenotypic features. we described a 45-year-old man with a 2 years history of multiple yellow-brown papules and a few red nodules on his trunk and extremities. no internal involvement was detected first and after 8 months. as his lesions were ...

Abstract: Gender recognition and age detection are important problems in telephone speech processing to investigate the identity of an individual using voice characteristics. In this paper a new gender and age recognition system is introduced based on generative incoherent models learned using sparse non-negative matrix factorization and atom correction post-processing method. Similar to genera...

Journal: :journal of applied research in water and wastewater 2014
reza karimi ali akbar akhtari omid seyedashraf

solving a large sparse set of linear equations is of the problems widely seen in every numerical investigation in the entire range of engineering disciplines. employing a finite element approach in solving partial derivative equations, the resulting stiffness matrices would contain many zero-valued elements. moreover, storing all these sparse matrices in a computer memory would slower the compu...

2008
Marius Kloft Ulf Brefeld Pavel Laskov Sören Sonnenburg

Approaches to multiple kernel learning (MKL) employ l1-norm constraints on the mixing coefficients to promote sparse kernel combinations. When features encode orthogonal characterizations of a problem, sparseness may lead to discarding useful information and may thus result in poor generalization performance. We study non-sparse multiple kernel learning by imposing an l2-norm constraint on the ...

Journal: :Quantum Information and Computation 2020

Journal: :Computational Statistics & Data Analysis 2020

Journal: :Archives of Computational Methods in Engineering 2017

Journal: :IEEE Transactions on Information Theory 2019

Journal: :Quantum Information and Computation 2010

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