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  • 1
    Image Harmonization Dataset iHarmony4

    Image Harmonization Dataset iHarmony4

    The first large-scale public benchmark dataset for image harmonization

    This repository provides the iHarmony4 dataset, which is a large-scale dataset designed for image harmonization tasks. Image harmonization involves adjusting the appearance of a foreground in a composite image so that it is consistent with the background (in color, tone, illumination, etc.). The iHarmony4 dataset comprises four sub-datasets (HCOCO, HAdobe5k, HFlickr, Hday2night), each making composite images by combining a foreground from one image with a background from another, along with...
    Downloads: 2 This Week
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  • 2
    Python Outlier Detection

    Python Outlier Detection

    A Python toolbox for scalable outlier detection

    ...It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS.
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  • 3
    HungarianAlgorithm

    HungarianAlgorithm

    An Ada implementation of the Hungarian Algorithm to minimize cost

    The Hungarian algorithm can be described as optimally solving a workers versus jobs assignment problem that minimizes total cost. This implementation assumes a square cost matrix, i.e. the number of jobs equals the number of workers to do them.
    Downloads: 0 This Week
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  • 4
    TOL

    TOL

    Total Order Labeling for Reachability Queries on Large Dynamic Graphs

    This is the code used in the following paper: Andy Diwen Zhu, Wenqing Lin, Sibo Wang, and Xiaokui Xiao. Reachability queries on large dynamic graphs: a total order approach. In Proceedings of the 2014 ACM SIGMOD international conference on Management of data (SIGMOD '14). Please cite the paper if you choose to use the code.
    Downloads: 0 This Week
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  • 5

    Approximate Subgraph Matching Algorithm

    Approximate Subgraph Matching Algorithm for Dependency Graphs

    ...We further designed an approximate subgraph matching (ASM) algorithm that is capable of detecting approximate subgraph matching based on a subgraph distance. Assume that the graph G and the subgraph Gs have m and n vertices, and km and kn edges respectively, the total worst-case algorithm complexity is O(m^n * n(n-1)/2 * km * log m). This Java implementation implements our ASM algorithm. See README file: https://sourceforge.net/projects/asmalgorithm/files/ If you use our ASM implementation to support academic research, please cite the following paper: Haibin Liu, Lawrence Hunter, Vlado Keselj, and Karin Verspoor. ...
    Downloads: 0 This Week
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  • 6

    Exact Subgraph Matching Algorithm

    Exact Subgraph Matching Algorithm for Dependency Graphs

    The subgraph matching problem (subgraph isomorphism) is NP-complete. We designed a simple exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach. The total worst-case algorithm complexity is O(n^2 * k^n) where n is the number of vertices and k is the vertex degree. We have demonstrated the successful usage of our algorithm in three biomedical relation and event extraction applications: BioNLP 2011 shared tasks on event extraction, Protein-Residue association detection and Protein-Protein interaction identification. ...
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  • 7

    Java Random Numbers - Random.Org API

    Offers Random numbers API for your programs written in Java.

    ...Library offers optimized algorithms for obtaining single random number or more random numbers at once, sequences of numbers, random strings etc. Also allows you to check quota. It provides algorithm to generate unspecified number of random numbers of certain total value. This algorithm still keeps server load low by sending as large requests as possible, yet all integers are truly random. ******************************************* Current version 1.5 is considered as STABLE version. All methods and whole class are documented via Javadoc. Credit goes to http://www.random.org
    Downloads: 0 This Week
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  • 8
    The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)
    Downloads: 0 This Week
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