4 projects for "em clustering algorithm" with 2 filters applied:

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  • 1
    DeepCluster

    DeepCluster

    Deep Clustering for Unsupervised Learning of Visual Features

    DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups.
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  • 2
    This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.
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  • 3
    distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
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  • 4
    IslandEv distributes a Genetic Algorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
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