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Learning Texture Transformer Network for Image Super-Resolution [article]

Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo
2020 arXiv   pre-print
The proposed texture transformer can be further stacked in a cross-scale way, which enables texture recovery from different levels (e.g., from 1x to 4x magnification).  ...  We study on image super-resolution (SR), which aims to recover realistic textures from a low-resolution (LR) image.  ...  Texture Transformers on Different Scales Our proposed TTSR contains three stacked texture transformers.  ... 
arXiv:2006.04139v2 fatcat:jkaohnhydjegdfja7fpkhp5eoq

Wavelet theory and belt finishing process, influence of wavelet shape on the surface roughness parameter values

Z khawaja, G Guillemot, P -E Mazeran, M El Mansori, M Bigerelle
2011 Journal of Physics, Conference Series  
This article presents a multi-scale theory based on wavelet decomposition to characterize the evolution of roughness in relation with a finishing process or an observed surface property.  ...  scale.  ...  • Does the scale of relevance depend on the various process parameters? • Does the scale of relevance depend on the wavelet choice? • Does the type of decomposition affect the relevance of the scale?  ... 
doi:10.1088/1742-6596/311/1/012013 fatcat:a5szawd2hjca3nqosuzd45vxcu

Binary Wavelet Transform Based Histogram Feature for Content Based Image Retrieval

Megha Agarwal, R. P. Maheshwari
2011 International Journal of Electronics Signals and Systems  
The performance of CBIR system with proposed feature is observed on Corel 1000 (DB1) and Corel 2450 (DB2) natural image database in color as well as gray space.  ...  BWTH exhibits the advantages of binary wavelet transform and histogram.  ...  On each bit image individually apply binary wavelet transform up to 3 scales c. Convert 8 bit subbands into gray scale back d. Now, for each subband calculate histogram 3.  ... 
doi:10.47893/ijess.2011.1014 fatcat:otrzut2hkbch3j62bptodt757y

Psychometric properties of the Chinese version of the aging transformation scale for older adults with dementia

Lai You Li, Ning Sun, Li Bo Yu, Xiao Xin Dong, Yu Chen Ying, Han Jun Lang, Li Heng Zhou
2021 BMC Geriatrics  
The 55-item aging transformation needs scale was answered by the participants.  ...  Results The aging transformation needs scale has a good surface validity, content validity, and structural validity.  ...  Discussion Current status of the aging transformation needs scale Table 1 shows that the number of entries that were "very relevant" and "relevant, but needed to be changed" (269/ 275), and the "one-point  ... 
doi:10.1186/s12877-020-01977-y pmid:33413143 fatcat:ohzalzpvmrc7pcdmmtbz3dntfa

Relevance-based Feature Extraction from Hyperspectral Images in the Complex Wavelet Domain

Michael Mendenhall, Erzsebet Merenyi
2006 2006 IEEE Mountain Workshop on Adaptive and Learning Systems  
We demonstrate that GRLVQI on the DTCWT coefficients achieves better classification with fewer features than using the Critically Sampled Discrete Wavelet Transform (CSDWT), which was already shown to  ...  dimensions to reflect the relevance of each dimension for the given classification.  ...  One can efficiently compute the wavelet and scaling functions using a filter bank.  ... 
doi:10.1109/smcals.2006.250687 fatcat:s3mz7akb6jh3pnq7h524psbc5a

2019_Kolenda_Desmoitier_Transformational-Change-Case-study-Uganda.pdf

Nicolas Desmoitier, Mathilde Clara Kolenda
2021 figshare.com  
ICAT Transformational Change Pilot Case Study: Geothermal Energy Development Policy in Uganda  ...  Relevance is assessed on a three-step scale (Relevant; Possibly relevant; Not relevant) and is based on the objectives and context of the policy (CTCN, 2018), on the national goals for Uganda's development  ...  Relevance of the dimensions of the SF in the context of geothermal energy development in Uganda was assessed by stakeholders on a three-step scale (3 = Relevant, 2 = Possibly relevant, 1 = Not relevant  ... 
doi:10.6084/m9.figshare.14959041.v1 fatcat:5sptlonedng6xmemocaecb5rlm

FUZZY APPROACH FOR GROUP DECISION-MAKING IN CRISIS SITUATIONS

Michal Škoda, Martin Flegl, Carmen Lozano
2021 Business: Theory and Practice  
The key role in the transformation process is played by the shape and position of fuzzy numbers.  ...  More specifically, the proposed approach uses new and innovative transformation of fuzzy numbers through α-level cuts.  ...  Evaluation of the relevance of each member in the area of decision-making will be evaluated on the scale described in Table 5 and Figure 4 .  ... 
doi:10.3846/btp.2021.12148 fatcat:i54dtiggcza75f6ysob5nsfuju

Development and Preliminary Validation of the Scale for Evaluation of Psychiatric Integrative and Continuous Care—Patient's Version

Yuriy Ignatyev, Jürgen Timm, Martin Heinze, Sonja Indefrey, Sebastian von Peter
2017 Frontiers in Psychiatry  
The preliminary scale was tested on 385 patients across seven German hospitals with cross-sectoral mental health care (CSMHC) as part of their treatment program.  ...  Psychometric properties of the scale were evaluated using genuine and transformed data scoring.  ...  Linear regression analyses demonstrated that the scale has postdictive validity for patient opinions based on their experiences with relevant components of CSMHC.  ... 
doi:10.3389/fpsyt.2017.00162 pmid:28912735 pmcid:PMC5583144 fatcat:ruem2jaaz5gg3cubgdpqpn6zme

Content-based texture image retrieval by histogram of curvelets

Erkan USLU, Songül ALBAYRAK
2016 Turkish Journal of Electrical Engineering and Computer Sciences  
The accuracy of the method is analyzed for rotation invariance, curvelet scale-orientation size, and bin size. The results are given with precision-recall graphs.  ...  A genuine method based on histograms of curvelets is proposed for content-based texture image retrieval.  ...  Effect of number of scales and orientations on HoC Effect of number of scales and orientations for curvelet transform on HoC is analyzed for a fixed number of bins in Figure 10 .  ... 
doi:10.3906/elk-1404-218 fatcat:ydpjkteskjehxgnitewhrfuomy

A Novel Virtual Vector Field Method for Image Segmentation Inspired by Physical Electro-Static Force

Xiao Dong Zhuang, Xiao Peng Ji, Zhi Qiang Wei, Han Ping Wang
2013 Advanced Materials Research  
By introducing the factor of gray-scale difference into the repulsion vector between image points, the diffusing vector field is obtained by the transform.  ...  A new image segmentation method is then presented based on the diffusing vector field. The experimental results have proved the method's effectiveness.  ...  between the time or space domain and the frequency domain) and the Wavelet transform (transform between the time or space domain and the time-scale or space-scale domain) [4, 5] .  ... 
doi:10.4028/www.scientific.net/amr.658.518 fatcat:iwzgewkrubfdzj2m52743kkgru

Investigating the critical properties of beyond-QCD theories using Monte Carlo renormalization group matching

Anna Hasenfratz
2009 Physical Review D  
I present preliminary results for the scaling dimension of the mass at this new fixed point.  ...  The pure gauge and $N_f=4$ systems are confining and chirally broken and the MCRG method can predict their bare step scaling functions.  ...  . • The mass is a relevant operator at this IRFP, therefore it should scale according to Eq. 8 under an s = 2 RG transformation.  ... 
doi:10.1103/physrevd.80.034505 fatcat:6jbshsjrvrcptjdrgl3ab2lxdy

Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification

Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Human visual perception shows good consistency for many multi-label image classification tasks under certain spatial transforms, such as scaling, rotation, flipping and translation.  ...  Experiments on three datasets verify the superiority of the proposed network by achieving new state-of-theart classification performance.  ...  In this paper, we propose an indirect way to focus attention of CNNs on regions more label-relevant by enforcing consistency of attention regions under certain image transforms.  ... 
doi:10.1109/cvpr.2019.00082 dblp:conf/cvpr/0002ZFY019 fatcat:xcq3qzpa6nghhcxfvyckix2ngm

Centering, scaling, and transformations: improving the biological information content of metabolomics data

Robert A van den Berg, Huub C J Hoefsloot, Johan A Westerhuis, Age K Smilde, Mariët J van der Werf
2006 BMC Genomics  
Different data pretreatment methods, i.e. centering, autoscaling, pareto scaling, range scaling, vast scaling, log transformation, and power transformation, were tested on a real-life metabolomics data  ...  That is, range scaling and autoscaling were able to remove the dependence of the rank of the metabolites on the average concentration and the magnitude of the fold changes and showed biologically sensible  ...  Other methods showed a strong dependence on the average concentration or magnitude of the fold change (centering, log transformation, power transformation, level scaling, pareto scaling), or lead to PCA  ... 
doi:10.1186/1471-2164-7-142 pmid:16762068 pmcid:PMC1534033 fatcat:oa7vpl2p5vem5cplympjxja52q

Conformal or walking? Monte Carlo renormalization group studies ofSU(3)gauge models with fundamental fermions

Anna Hasenfratz
2010 Physical Review D  
With an improved renormalization group block transformation I am able to connect the perturbative and confining regimes of the N_f=8 flavor system, thus verifying its QCD-like nature.  ...  In the chiral limit the 16 flavor system has no relevant transformations have different RT trajectories.  ...  the RT is a two-dimensional surface and one has to tune both relevant operatorsto match the blocked actions.  ... 
doi:10.1103/physrevd.82.014506 fatcat:tsq3kuqh5vfatgr3wl7qwtertu

Enhancing ad-hoc relevance weighting using probability density estimation

Xiaofeng Zhou, Jimmy Xiangji Huang, Ben He
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
In this paper, we conduct an in-depth study of this relationship based on the Scope hypothesis that document length does have its impact on relevance.  ...  BM25, deal with document length based on a trade-off between the Verbosity hypothesis, which assumes the independence of a document's relevance of its length, and the Scope hypothesis, which assumes the  ...  The proposed BM25L model is evaluated on standard large-scale TREC collections.  ... 
doi:10.1145/2009916.2009943 dblp:conf/sigir/ZhouHH11 fatcat:tgg6j2egmvd4doyrhbukboo2ny
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