scholarly journals Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification

2014 ◽  
Author(s):  
Yadong Mu ◽  
Gang Hua ◽  
Wei Fan ◽  
Shih-Fu Chang
Keyword(s):  
Large Scale ◽  
Kernel Machines ◽  
Visual Classification

Large scale classifiers for visual classification tasks

2014 ◽  
Vol 74 (4) ◽  
pp. 1199-1224 ◽  
Author(s):  
Thanh-Nghi Doan ◽  
Thanh-Nghi Do ◽  
François Poulet
Keyword(s):  
Large Scale ◽  
Visual Classification ◽  
Classification Tasks

scholarly journals Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification

2019 ◽  
pp. 1-1 ◽  
Author(s):  
Yu Wang ◽  
Qinghua Hu ◽  
Pengfei Zhu ◽  
Linhao Li ◽  
Bingxu Lu ◽  
...  
Keyword(s):  
Large Scale ◽  
Visual Classification

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

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