Graph-Based Object Class Discovery from Images with Multiple Objects

2014 ◽  
pp. 344-353
Author(s):  
Takayuki Nanbu ◽  
Hisashi Koga
Keyword(s):  
Multiple Objects ◽  
Object Class ◽  
Class Discovery

Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning

2015 ◽  
Vol 37 (4) ◽  
pp. 862-875 ◽  
Author(s):  
Jun-Yan Zhu ◽  
Jiajun Wu ◽  
Yan Xu ◽  
Eric Chang ◽  
Zhuowen Tu
Keyword(s):  
Object Class ◽  
Class Discovery ◽  
Multiple Class

Unsupervised object class discovery via saliency-guided multiple class learning

2012 ◽  
Author(s):  
Jun-Yan Zhu ◽  
Jiajun Wu ◽  
Yichen Wei ◽  
Eric Chang ◽  
Zhuowen Tu
Keyword(s):  
Object Class ◽  
Class Discovery ◽  
Multiple Class

Stereo modeling of HVEM specimens by serial tilting and computer graphics

1986 ◽  
Vol 44 ◽  
pp. 34-35
Author(s):  
J.R. McIntosh ◽  
D.L. Stemple ◽  
William Bishop ◽  
G.W. Hannaway
Keyword(s):  
Computer Graphics ◽  
Analytical Methods ◽  
Photographic Film ◽  
Complex Structures ◽  
Multiple Objects ◽  
Multiple Images ◽  
3 Dimensional

EM specimens often contain 3-dimensional information that is lost during micrography on a single photographic film. Two images of one specimen at appropriate orientations give a stereo view, but complex structures composed of multiple objects of graded density that superimpose in each projection are often difficult to decipher in stereo. Several analytical methods for 3-D reconstruction from multiple images of a serially tilted specimen are available, but they are all time-consuming and computationally intense.

Meta-Classifier Based on Boosted Approach for Object Class Recognition

2014 ◽  
Vol 9 (9) ◽  
pp. 1590
Author(s):  
Noridayu Manshor ◽  
Amir Rizaan Abdul Rahiman ◽  
Raja Azlina Raja Mahmood
Keyword(s):  
Object Class ◽  
Object Class Recognition

The interpretation of singular nouns in the scope of an event-distributive quantifier

2019 ◽  
Vol 5 (1) ◽  
pp. 1-9
Author(s):  
Piotr Gulgowski
Keyword(s):  
Present Experiment ◽  
Multiple Objects ◽  
Multiple Events ◽  
Singular Noun ◽  
Distributive Operator

Abstract Singular nouns in the scope of a distributive operator have been shown to be treated as conceptually plural (Patson and Warren, 2010). The source of this conceptual plurality is not fully clear. In particular, it is not known whether the concept of plurality associated with a singular noun originates from distributing over multiple objects or multiple events. In the present experiment, iterative expressions (distribution over events) were contrasted with collective and distributive sentences using a Stroop-like interference technique (Berent, Pinker, Tzelgov, Bibi, and Goldfarb, 2005; Patson and Warren, 2010). A trend in the data suggests that event distributivity does not elicit a plural interpretation of a grammatically singular noun, however the results were not statistically significant. Possible causes of the non-significant results are discussed.

Sign in / Sign up

Export Citation Format

Share Document