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UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is… Expand We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric… Expand Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem… Expand This paper presents and characterizes Rodinia, a benchmark suite for heterogeneous computing. To help architects study emerging… Expand Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines… Expand Wireless sensor networks are composed of large numbers of tiny networked devices that communicate untethered. For large scale… Expand This paper describes a visual object detection framework that is capable of processing images extremely rapidly while achieving… Expand W/sup 4/ is a real time visual surveillance system for detecting and tracking multiple people and monitoring their activities in… Expand The naive solution would be to do an exhaustive search across all possible subsets of items and count how many satisfy the… Expand Abstract Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed… Expand