Deep Neighborhood Component Analysis for Visual Similarity Modeling

2020 ◽  
Vol 11 (3) ◽  
pp. 1-15
Author(s):  
Xueliang Liu ◽  
Xun Yang ◽  
Meng Wang ◽  
Richang Hong
Keyword(s):  
Component Analysis ◽  
Visual Similarity

scholarly journals Image Dehazing and Enhancement Using Principal Component Analysis and Modified Haze Features

2018 ◽  
Vol 8 (8) ◽  
pp. 1321 ◽  
Author(s):  
Minseo Kim ◽  
Soohwan Yu ◽  
Seonhee Park ◽  
Sangkeun Lee ◽  
Joonki Paik
Keyword(s):  
Principal Component Analysis ◽  
Computational Cost ◽  
Principal Component ◽  
Component Analysis ◽  
Visual Similarity ◽  
Computationally Efficient ◽  
Low Light ◽  
Image Dehazing ◽  
Haze Removal ◽  
Transmission Estimation

This paper presents a computationally efficient haze removal and image enhancement methods. The major contribution of the proposed research is two-fold: (i) an accurate atmospheric light estimation using principal component analysis, and (ii) learning-based transmission estimation. To reduce the computational cost, we impose a constraint on the candidate pixels to estimate the haze components in the sub-image. In addition, the proposed method extracts modified haze-relevant features to estimate an accurate transmission using random forest. Experimental results show that the proposed method can provide high-quality results with a significantly reduced computational load compared with existing methods. In addition, we demonstrate that the proposed method can significantly enhance the contrast of low-light images according to the assumption on the visual similarity between the inverted low-light and haze images.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

A component analysis of cognitive-behavioral treatment for depression.

2000 ◽  
Vol 3 ◽  
pp. np
Author(s):  
Keith S. Dobson ◽  
Paula A. Truax ◽  
Michael E. Addis ◽  
Kelly Koerner ◽  
Jackie K. Gollan ◽  
...  
Keyword(s):  
Behavioral Treatment ◽  
Component Analysis ◽  
Cognitive Behavioral ◽  
Cognitive Behavioral Treatment
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