Results 21 to 30 of about 2,935,085 (336)
COMMENT: MATCHING, STATISTICS, AND COMMON SENSE [PDF]
Journal of The Experimental Analysis of Behavior, 1983 William M. Baum
openalex +2 more sources
(Fractional) online stochastic matching via fine-grained offline statistics [PDF]
Symposium on the Theory of Computing, 2022 Motivated by display advertising on the internet, the online stochastic matching problem is proposed by Feldman, Mehta, Mirrokni, and Muthukrishnan (FOCS 2009).
Z. Tang, Hongxun Wu, Jinzhao Wu
semanticscholar +1 more source
Statistical Properties of Color Matching Functions [PDF]
Neural Computation, 2021 AbstractIn trichromats, color vision entails the projection of an infinite-dimensional space (the one containing all possible electromagnetic power spectra) onto the three-dimensional space that modulates the activity of the three types of cones. This drastic reduction in dimensionality gives rise to metamerism, that is, the perceptual chromatic ...
da Fonseca, María, Samengo, Inés
openaire +3 more sources
Deep Semantic Statistics Matching (D2SM) Denoising Network [PDF]
European Conference on Computer Vision, 2022 The ultimate aim of image restoration like denoising is to find an exact correlation between the noisy and clear image domains. But the optimization of end-to-end denoising learning like pixel-wise losses is performed in a sample-to-sample manner, which ...
Kangfu Mei, Vishal M. Patel, Rui Huang
semanticscholar +1 more source
Fast Algorithms for Computing the Statistics of Pattern Matching
IEEE Access, 2021 Pattern matching is a fundamental problem in theoretical computer science. The algorithms for pattern matching and the study on the statistics of pattern matching have found enormous applications in practical fields.
Danna Zhang, Kai Jin
doaj +1 more source
Efficiency of template matching methods for Multiple-Point Statistics simulations
Applied Computing and Geosciences, 2021 Almost all Multiple-Point Statistic (MPS) methods use internally a template matching method to select patterns that best match conditioning data. The purpose of this paper is to analyze the performances of ten of the most frequently used template ...
Mansoureh Sharifzadeh Lari +2 more
doaj +1 more source
Monocular Vision SLAM Based on Probabilistic Motion Statistics Feature Matching [PDF]
Jisuanji gongcheng, 2019 In the current monocular vision Simultaneous Localization and Mapping(SLAM) process,the feature matching phase is time-consuming,and mismatches tend to occur,so the robot often has a slow initialization speed and low positioning accuracy.To address these
ZENG Weilin, LIU Guihua, CHEN Hao
doaj +1 more source
Where You Are Is Who You Are: User Identification by Matching Statistics [PDF]
IEEE Transactions on Information Forensics and Security, 2015 Most users of online services have unique behavioral or usage patterns. These behavioral patterns can be exploited to identify and track users by using only the observed patterns in the behavior.
F. M. Naini +3 more
semanticscholar +1 more source
Statistical matching for conservation science [PDF]
Conservation Biology, 2019 Abstract The awareness of the need for robust impact evaluations in conservation is growing and statistical matching techniques are increasingly being used to assess the impacts of conservation interventions. Used appropriately matching approaches are powerful tools, but they also pose potential pitfalls.
Schleicher, Judith +5 more
openaire +6 more sources
Non-parametric style transfer: Correlation-aware exact distribution matching
Journal of King Saud University: Computer and Information Sciences, 2023 Early feed-forward neural methods of arbitrary image style transfer utilized the encoded feature map up to its second-order statistics, i.e., mean and variance (or covariance) of the encoded feature map.
Jeong-Sik Lee, Hyun-Chul Choi
doaj +1 more source