scholarly journals Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning

PeerJ ◽  
2014 ◽  
Vol 2 ◽  
pp. e488 ◽  
Author(s):  
Dan Stowell ◽  
Mark D. Plumbley
Keyword(s):  
Large Scale ◽  
Feature Learning ◽  
Unsupervised Feature Learning ◽  
Scale Classification

scholarly journals WBC-Profiler: an Unsupervised Feature Learning System for Leukocytes Characterization and Classification

2018 ◽  
Author(s):  
Hong Yan ◽  
Xuanyu Mao ◽  
Yongquan Xia ◽  
Zhiyang Li ◽  
Chengbin Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Deep Neural Networks ◽  
White Blood Cells ◽  
Feature Learning ◽  
Clinical Impact ◽  
Learning System ◽  
Automatic Extraction ◽  
Engineering Optimization ◽  
Unsupervised Feature Learning

The characterization and classification of white blood cells (WBC) is critical for the diagnosis of anemia, leukemia and many other hematologic diseases. We developed WBC-Profiler, an unsupervised feature learning system for quantitative analysis of leukocytes. We demonstrate that WBC-Profiler enables automatic extraction of complex signatures from microscopic images without human-intervention and thereafter effective construction of leukocytes profiles, which decouples large scale complex leukocytes characterization from limitations in both human-based feature engineering/optimization and the end-to-end solutions provided by modern deep neural networks, and therefore has the potential to provide new opportunities towards meaningful studies/applications with scientific and/or clinical impact

Large-scale classification of major depressive disorder via distributed Lasso

2017 ◽  
Author(s):  
Dajiang Zhu ◽  
Qingyang Li ◽  
Brandalyn C. Riedel ◽  
Neda Jahanshad ◽  
Derrek P. Hibar ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Large Scale ◽  
Major Depressive ◽  
Scale Classification

scholarly journals Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning

Sensors ◽  
2013 ◽  
Vol 13 (2) ◽  
pp. 1578-1592 ◽  
Author(s):  
Martin Längkvist ◽  
Silvia Coradeschi ◽  
Amy Loutfi ◽  
John Rayappan
Keyword(s):  
Thin Films ◽  
Feature Learning ◽  
Zno Thin Films ◽  
Unsupervised Feature Learning ◽  
Meat Spoilage ◽  
Fast Classification

Large-scale classification of traffic signs under real-world conditions

2012 ◽  
Author(s):  
Lykele Hazelhoff ◽  
Ivo Creusen ◽  
Dennis van de Wouw ◽  
Peter H. N. de With
Keyword(s):  
Real World ◽  
Large Scale ◽  
Traffic Signs ◽  
Scale Classification
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