• MapReduce: Simplified Data Processing on Large Clusters

    Summary MapReduce is a programming model that parallelize the computation on large data. The computation consists of two functions: a map and a reduce function. First, input data are partitioned into M splits. Map function takes a partition of inputs and produce a set of intermediate key/value pairs. By partitioning...


  • Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center

    Summary Mesos is a platform that provides cross-framework resource allocation. The greatest challenge for cross-framework resource sharing is that various kinds of frameworks may have their own different scheduling. Mesos overcome this problem by adopting two-level scheduling mechanism called resource offers. Framework of Mesos Resource offer process Mesos API function...


  • Relational Recurrent Neural Network

    WHY? While conventional deep learning models have performed well on inference regarding individual entities, few models have been proposed focusing on inference regarding the relations among entities. Relational network aimed to capture relational information from images. In this paper, relational recurrent neural network tried to improve former memory augmented neural...


  • Phase-aware Speech Enhancement with Deep Complex U-net

    WHY? For audio source separation task, traditional approach only utilized magnitude part ignoring phase part. Previously deep complex network provided complex arithmetics via convolution. WHAT? Deep Complex U-net modified simple DCN to better preseve audio information. First, DCU used strided complex-valued convolutional layers instead of max pooling operation. Second, complex...


  • Transformation Autoregressive Networks

    WHY? Autoregressive model has been dominant model for density estimation. On the other hand, various non-linear transformations techniques enabled tracking of density after transformation of variables. Transformation Autoregressive Networks(TAN) combined non-linear transformation into autoregressive model to capture more complicated density of data. WHAT? TAN is composded of two module: autogregressive...