This algorithm mainly deal with the JND estimation in DCT domain for image
MEM-Align is a fast, near optimal nucleotide sequence alignment algorithm using Maximal Exact Matches (MEMs) Developed by: Arash Bayat (email@example.com) To be submitted to Bioinformatics. Title: "Fast and accurate nucleotide sequence alignment algorithm suitable for DNA read mapping" Authors: Arash Bayat, Bruno Gaeta, Aleksandar Ignjatovic and Sri Parameswaran. University of New South Wales - School of Computer Science and Engineering
This code accompanies “Soil Carbon Modeling with RStan”, by Bob Carpenter: http://mc-stan.org/documentation/case-studies/soil-knit.html For more information on Stan, see http://mc-stan.org/
In this package, we provide the Matlab source code and experimental data for the ensemble clustering algorithms in our IEEE TCYB paper. If you find the code and data useful for your research, please cite the paper below. Dong Huang, Chang-Dong Wang, Jian-Huang Lai. Locally Weighted Ensemble Clustering. IEEE Transactions on Cybernetics, accepted, 2017. DOI: 10.1109/TCYB.2017.2702343
This code reproduces the statistical analyses for "The Contact Hypothesis Revisited", by Betsy Levy Paluck, Seth A. Green and Donald P. Green. For a preprint, see https://osf.io/preprints/socarxiv/w2jkf, part of our larger OSF page https://osf.io/ttpvy/. We include the STATA file for completeness, but it will not run on Code Ocean; you can download and run it if you have a STATA license. "ContactMetaAnalysis.R" replicates the main random effects meta-analysis.
This is the implementation of the following paper: Liu, Wei, et al. "Robust Color Guided Depth Map Restoration." IEEE Transactions on Image Processing 26.1 (2017): 315-327. Please run function MexFile.m to compile the C code first. Note that the implementation uses the Look Up Table (LUT) technique. All the images are required to normalized into [0, 255]!
Visual Orientation Selectivity based Structure Description, Version 1.0 Copyright(c) 2015 Jinjian Wu, Weisi Lin, and Guangming Shi All Rights Reserved. This is an implementation of the algorithm for creating the orientation selectivity based structure descriptor. Please refer to the following papers Jinjian Wu, Weisi Lin, Guangming Shi, Yazhong Zhang, Weisheng Dong, Zhibo Chen "Visual Orientation Selectivity based Structure Description", IEEE Trans. On Image Processing, Vol. 24, No. 11, PP. 4602-4613, Nov. 2015.
This is a Matlab software for calculating the pattern masking. Please refer to the following papers: J. Wu, W. Lin, G. Shi, Xiaotian Wang, and Fu Li, Pattern Masking Estimation in Image With Structural Uncertainty. IEEE Trans. on Image Processing, accepted, 2013. J. Wu, W. Lin, and G. Shi, Visual Masking Estimation Based On Structural Uncertainty, IEEE ISCAS 2013.
This toolbox implements the algorithm described in: Wu J, Shi G, Lin W, et al. Just Noticeable Difference Estimation for Images With Free-Energy Principle[J]. IEEE Transactions on Multimedia, 2013, 15(7):1705-1710. The code package includes 1) Matlab Codes 2) one images from LIVE database 3) The evaluation results of JND mark and the distort_jnd image. Please report to firstname.lastname@example.org any bug or comment.
Pattern-complexity-JND-code include a main algorithom and a func_JND_modeling_pattern_complexity function algorithom. The main algorithm demo_pattern_complexity_based_JND_modelig is an implementation of the algorithm for creating the Pattern Complexity based Just Noticeable Difference Modeling.
This is a Matlab software algorithm for estimation salience based on redundancy reduction. Please refer to the following paper J. Wu, F. Qi, G. Shi, Y. Lu, Non-local spatial redundancy reduction for bottom-up saliency estimation Journal of Visual Communication and Image Representation, 23(7)(2012), 1158-1166.
This folder contains source code for causality detection in visual object tracking and for causal predictions, which may be used to help a tracker. It is based on our ICCV2015 paper Exploring Causal Relationships in Visual Object Tracking, our subsequent journal paper, which is currently under review, and parts of my thesis. If you use this code in an academic work, please cite the ICCV paper (unless the follow-up journal has been already published): Lebeda,...
Advances in Automotive Radar: A framework on computationally efficient high-resolution frequency estimationFlorian Engels
This algorithm implements a flexible framework for computationally efficient high-resolution frequency estimation for state-of-the-art automotive radar sensors. By using decoupled frequency estimation in the Fourier domain, high-resolution processing can be applied to either the range, relative velocity, or angular dimension. Real data obtained from series-production automotive radar sensor are supplied to show the effectiveness of the presented framework.
Ensemble clustering, also known as clustering ensemble or consensus clustering, is the process of combining multiple clusterings into a probably better and more robust clustering result. As an important research topic in data clustering, ensemble clustering has recently shown promising advantages in dealing with complex data and producing robust clustering results, and has been widely exploited in various research fields, such as bioinformatics, computer vision, network analysis, etc. In this package, we provide the Matlab...
We generate physics-mathematical Thermography blind source separation modeling and mining route in the spatial-, time-, frequency-, and sparse-pattern domains. This is a significant step towards realizing the deeper insight in thermography and automatic defect identification. The relevant papers can be found in  Bin Gao, Libing Bai, Gui Yun Tian, W.L. Woo, Yuhua Cheng “Automatic Defect Identiﬁcation of Eddy Current Pulsed Thermography Using Single Channel Blind Source Separation”, IEEE Transactions on Instrumentation and Measurement, vol.63,...
The study of complex systems benefits from graph models and their analysis. In particular, the eigendecomposition of the graph Laplacian lets emerge properties of global organization from local interactions; e.g., the Fiedler vector has the smallest non-zero eigenvalue and plays a key role for graph clustering. Graph signal processing focusses on the analysis of signals that are attributed to the graph nodes. The eigendecomposition of the graph Laplacian allows to define the graph Fourier transform...
Code for "Community production modulates coral reef pH and the sensitivity of ecosystem calcification to ocean acidification"Thomas DeCarlo
Script for calculating coral reef community metabolism on Dongsha Atoll (see associated paper). Metabolic rate uncertainties are estimated using Monte Carlo iterations.
This code calculates coral calcifying fluid carbonate ion concentration ([CO32-]) given inputs of skeleton boron/calcium (B/Ca) and boron isotopes (del11B) data. The default analysis will calculate the calcifying fluid [CO32-] of the international coral standard "JCp-1" (a ground Porites skeleton), but this code may be applied to any other coral samples with paired measurements of B/Ca and del11B. Use the Interface to adjust the input parameters. The calculations performed in the code are based on...
This script analyses coral trace element ratios following DeCarlo et al. (2016). Measured skeletal Sr/Ca and U/Ca ratios are combined in a new metric "Sr-U" that is strongly related to temperature for 14 IndoPacific Porites corals.
Code for "Experimental determination of factors controlling U/Ca of aragonite precipitated from seawater: implications for interpreting coral skeleton"Thomas DeCarlo
The script calculates partitioning coefficients for Sr/Ca and U/CO3 in aragonite for the abiogenic experiments described in DeCarlo et al. (2015). Please see the paper for details of the methods and calculation scheme. Note that the Monte Carlo analysis for the final results presented in the paper was conducted with 1000 iterations (requires several days computing time), while here I have set the iterations to 3 so that the analysis will run in a reasonable...
The enclosed files contain Matlab code for the simulation of digital predistortion (DPD) mitigation techniques in a 3 and 4-carrier transparent satellite link. All carriers have the same data rate and modcod, that is, the same modulation and code rate. The carrier signals are compliant with DVB-S2 specifications.
This is an implementation of the algorithms in MATLAB 2015b by Abbas Kazemipour and requires installation of the CVX package. Distribution of this code is allowed for non-commercial purposes as long as it contains the readme file.
This code is used for community mining from signed networks. The algorithm contains two main phases: 1) Finding a community (FC), 2) Extracting the Sink Community (EC).
This code presents the IIR library which can be used to design, analyze and test Infinite Impulse Response digital filters. The library is composed of a set C++ classes inside a namespace called IIR.
Gene Enrichment or Expression View. Updated April 2017.