Decomposing Time-Lapse Paintings into Layers
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Updated
Jan 29, 2016 - C++
Decomposing Time-Lapse Paintings into Layers
The Project is an implementation of the paper Blind Color Decomposition of histological image IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 32, NO. 6, JUNE 2013 Milan Gavrilovic*, Member, IEEE, Jimmy C. Azar, Joakim Lindblad, Carolina Wählby, Ewert Bengtsson, Senior Member, IEEE, Christer Busch, and Ingrid B. Carlbom, Member, IEEE
Personal project: testing the employee management system
momentum spectrum decomposition
Data and R code accompanying article 10.1111/gcb.16299 in Global Change Biology
Python library for efficient rectangular decomposition of binary images using the Generalized Delta-Method.
Repository contains a package with functions for data analytics
Code to support the paper: A. Fabrizio, A. Grisafi, B. Meyer, M. Ceriotti, and C. Corminboeuf, “Electron density learning of non-covalent systems”, Chem. Sci. 10, 9492 (2019)
Coursework of NTHU CS613200 Advanced Logic Synthesis
A thesis project and library for computing the modular decomposition of a graph. https://doi.org/10.5445/IR/1000170363
Decomposition data for 75,000 CJK ideographs; fork (with fixes) of
Quadratic Equation Solver with Linear Algebra using LU and QR decomposition
TimeSeries-Analysis using Python
Forecast the Airline Flight Demand Using ARIMA and AR
Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.
Formulas of this year's [2024] NPTEL Course titled Advanced Computational Techniques
Decomposition by clique separators and some exercises for two courses on statistical models given by prof. Giovanni Marchetti @ University of Florence
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