Learning state labels for sparse classification of speech with matrix deconvolution

Author(s):  
Antti Hurmalainen ◽  
Tuomas Virtanen
2017 ◽  
Vol 46 (5) ◽  
pp. 1464-1473 ◽  
Author(s):  
Ahmed M. Elkady ◽  
Dana Cobzas ◽  
Hongfu Sun ◽  
Gregg Blevins ◽  
Alan H. Wilman

NeuroImage ◽  
2012 ◽  
Vol 60 (2) ◽  
pp. 1106-1116 ◽  
Author(s):  
Manhua Liu ◽  
Daoqiang Zhang ◽  
Dinggang Shen

Mechatronics ◽  
2015 ◽  
Vol 31 ◽  
pp. 60-67 ◽  
Author(s):  
Gang Tang ◽  
Qin Yang ◽  
Hua-Qing Wang ◽  
Gang-gang Luo ◽  
Jian-wei Ma

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.


Author(s):  
Gerald Fine ◽  
Azorides R. Morales

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)


Author(s):  
Irving Dardick

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.


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