Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid

Author(s):  
Alessandro Perina ◽  
Nebojsa Jojic
1986 ◽  
Vol 1 (1) ◽  
pp. 107-137 ◽  
Author(s):  
Jan M. Zytkow ◽  
Herbert A. Simon
Keyword(s):  

1954 ◽  
Vol 3 (3) ◽  
pp. 73-75 ◽  
Author(s):  
A. H. Strickland
Keyword(s):  

Author(s):  
P. Lovato ◽  
A. Perina ◽  
D. S. Cheng ◽  
C. Segalin ◽  
N. Sebe ◽  
...  
Keyword(s):  

2015 ◽  
pp. 231-251
Author(s):  
Vladimir Pericliev

Machine componential analysis of Bulgarian kinship terminology and more on the problem of multiple solutionsThe Bulgarian kin terms of reference and address are subjected to componential analysis, using the sophisticated computer program KINSHIP. It is shown that an unconstrained and separate analysis of the two sets of terms yields an astronomical number of alternative componential models for each, threatening to compromise the componential method as a whole. However, after combining the set of reference and the set of address terms into a unitary kin term domain and applying the program to this new enlarged data set, further employing appropriate simplicity criteria on overall features (=dimensions) and components of kin term definitions, yields a unique componential model. This result is evaluated in the context of a famous debate on the problems of multiple solutions of kinship systems. It is concluded that componential analysis properly used is an indispensable tool for revealing the structuring of semantic domains.


2018 ◽  
Vol 6 (4) ◽  
pp. 144-158 ◽  
Author(s):  
Tereza Capelos ◽  
Stavroula Chrona

This study examines the complexity of citizens’ political affectivity in Turkey. Drawing from componential models of affect, we rely on situational (motive consistent versus inconsistent) and motivational state (gain or loss) appraisals to test hypotheses on systematic differences in the clusters of political affect that span beyond the traditionally measured discrete emotional reactions of anger, hope, pride and fear. Using qualitative interview data from 2012, we develop a topography of affect clusters and systems of associations between political concepts. We find citizens express their emotionality in rich terms. They are linked to appraisals of multiple political objects, they reflect aversive, anxious, loss and gain oriented emotional responses, and they are guided by citizens’ ideological orientations. This study is valuable as it addresses a significant gap in the study of political affect going beyond their discrete categorizations. It introduces a mapping methodology as an effective way of capturing the complexity of affect systems, and it reveals powerful insights into the depth and richness of emotions based on appraisal dimensions, enriching our understanding of political tensions and developments in Turkish politics and beyond.


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