• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 62 matches

• 2020
• 
  Xiaodong Ma, Kâmil Ugurbil, Xiaoping Wu:
  Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation. NeuroImage 215: 116852 (2020)
• 
  Ymir Mäkinen, Lucio Azzari, Alessandro Foi:
  Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching. IEEE Trans. Image Process. 29: 8339-8354 (2020)
• 
  Atsushi Iwasaki:
  Deriving the Variance of the Discrete Fourier Transform Test Using Parseval's Theorem. IEEE Trans. Inf. Theory 66(2): 1164-1170 (2020)
• 2019
• 
  Ming Jiang, Biao Leng, Zhijun Meng, Guanglu Song:
  Spatial-Transformed Regional Quality Estimation Network for Large-Variance Person Re-Identification. IEEE Access 7: 118101-118111 (2019)
• 
  Minghui Zhang, Fengqin Zhang, Qiegen Liu, Shanshan Wang:
  VST-Net: Variance-stabilizing transformation inspired network for Poisson denoising. J. Vis. Commun. Image Represent. 62: 12-22 (2019)
• 
  Ymir Mäkinen, Lucio Azzari, Alessandro Foi:
  Exact Transform-Domain Noise Variance for Collaborative Filtering of Stationary Correlated Noise. ICIP 2019: 185-189
• 
  Thomas Joseph, Barjeev Tyagi, Vishal Kumar:
  Unscented Transform based Unbiased Minimum Variance Filter for Generator State Estimation with Unknown Inputs. IECON 2019: 2263-2268
• 
  Nguyen Hoang Hai, Dang N. H. Thanh, Nguyen Ngoc Hien, Chinthaka Premachandra, V. B. Surya Prasath:
  A Fast Denoising Algorithm for X-Ray Images with Variance Stabilizing Transform. KSE 2019: 1-5
• 
  Qi Gong, Qin Li, Marios A. Gavrielides, Nicholas Petrick:
  Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520Z
• 
  Shuai Ma, Jia Yuan Yu:
  Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping. SMC 2019: 958-963
• 
  Susmitha Vekkot, Deepa Gupta:
  Emotion Conversion in Telugu using Constrained Variance GMM and Continuous Wavelet Transform-$F_{0}$. TENCON 2019: 991-996
• 
  William Leeb:
  Evaluating the boundary and Stieltjes transform of limiting spectral distributions for random matrices with a separable variance profile. CoRR abs/1904.11665 (2019)
• 
  Shuai Ma, Jia Yuan Yu:
  Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping. CoRR abs/1907.05231 (2019)
• 2017
• 
  Oindrila Kanjilal, C. S. Manohar:
  Girsanov's transformation based variance reduced Monte Carlo simulation schemes for reliability estimation in nonlinear stochastic dynamics. J. Comput. Phys. 341: 278-294 (2017)
• 
  Jochen Quante, Andreas Thums, Olga Pikuleva:
  Transformation of Preprocessor Variance to Post-Build Variance. Softwaretechnik-Trends 37(2) (2017)
• 
  Milos Brajovic, Irena Orovic, Milos Dakovic, Srdjan Stankovic:
  The reconstruction of 2D sparse signals by exploiting transform coefficients variances. EUROCON 2017: 282-286
• 
  Pasi Luukka, Jan Stoklasa, Mikael Collan:
  Transformation of Variance to Possibilistic Variance and Vice Versa. EUSFLAT/IWIFSGN (2) 2017: 456-467
• 
  Yongxin Chang, Shijie Feng, Jing Zhang:
  An efficient object recognition based on Gabor transform and LBP variance. ICAIT 2017: 393-398
• 
  Deepak Garg, Ajit Rajwade:
  Performance bounds for Poisson compressed sensing using Variance Stabilization Transforms. ICASSP 2017: 6080-6084
• 
  Ling Ding, Huying Zhang, Bi-jun Li, Jinsheng Xiao, Jian Zhou:
  Image Noise Estimation Based on Principal Component Analysis and Variance-Stabilizing Transformation. ICIG (3) 2017: 58-69
• 
  Paul Francis Harrison:
  Varistran: Anscombe's variance stabilizing transformation for RNA-seq gene expression data. J. Open Source Softw. 2(16): 257 (2017)
• 
  Deepak Garg, Ajit Rajwade:
  Reconstruction Error Bounds for Compressed Sensing under Poisson or Poisson-Gaussian Noise Using Variance Stabilization Transforms. CoRR abs/1707.00475 (2017)
• 2016
• 
  Bailey K. Fosdick, Michael D. Perlman:
  Variance-stabilizing and Confidence-stabilizing Transformations for the Normal Correlation Coefficient with Known Variances. Commun. Stat. Simul. Comput. 45(6): 1918-1935 (2016)
• 
  Vikas Joshi, N. Vishnu Prasad, Srinivasan Umesh:
  Modified Mean and Variance Normalization: Transforming to Utterance-Specific Estimates. Circuits Syst. Signal Process. 35(5): 1593-1609 (2016)
• 
  Iman Tavakkolnia, Majid Safari:
  Variance normalizing transform for performance improvement in radio-over-fiber systems. EuCNC 2016: 255-259
• 2015
• 
  Thangavel Palanisamy, Joghee Ravichandran:
  Variance Estimation in Heteroscedastic Models by Undecimated Haar Transform. Commun. Stat. Simul. Comput. 44(6): 1532-1544 (2015)
• 
  Xiaogang Yang, Jianxiang Xi, Jinying Wu, BaiLong Yang:
  Consensus transformation for multi-agent systems with topology variances and time-varying delays. Neurocomputing 168: 1059-1064 (2015)
• 
  Erdal Arikan:
  Variance of Entropy Decreases Under the Polar Transform. CoRR abs/1501.05005 (2015)
• 2014
• 
  Xiaodan Jin, Zhenyu Xu, Keigo Hirakawa:
  Noise Parameter Estimation for Poisson Corrupted Images Using Variance Stabilization Transforms. IEEE Trans. Image Process. 23(3): 1329-1339 (2014)
• 
  Edward Pacheco, Sérgio Shiguemi Furuie:
  Variance Stabilizing Transformations in the Reduction of Poisson noise in 3D Nuclear Medicine Images. CinC 2014: 949-952

skipping 32 more matches