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We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection… Expand Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end… Expand There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper… Expand Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although… Expand Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… Expand TCP Westwood (TCPW) is a sender-side modification of the TCP congestion window algorithm that improves upon the performance of… Expand We present the design and implementation of an end-to-end architecture for Internet host mobility using dynamic updates to the… Expand This memorandum describes RTP, the real-time transport protocol. RTP provides end-to-end network transport functions suitable for… Expand This paper presents a scheme to implement congestion control at the gateway nodes. The superiority of such a scheme (congestion… Expand This paper presents a design principle that helps guide placement of functions among the modules of a distributed computer system… Expand