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.
Decomposition by clique separators and some exercises for two courses on statistical models given by prof. Giovanni Marchetti @ University of Florence
Django applications coupling checker (detects bi-directional dependencies between packages)
pyDEScont performs a discrete-event simulation for queueing networks where servers are modelled as continuous-time, discrete-state-space Markov chains. Independent, amateur work based on papers by Stanley B. Gershwin, Marcello Colledani and Barış Tan.
Used libraries and functions as follows:
Use IBM API for anomaly detection in time series data, visualisation, seasonality with statsmodels decomposition and Fourier analysis, K-Means clustering
Two CNN-based models for pre-processing the Full-waveform LiDAR signals.
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
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