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End system

In networking jargon, the computers that are connected to a computer network are sometimes referred to as end systems. They are labeled end systems… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
One of the major drawbacks of modularized task-completion dialogue systems is that each module is trained individually, which… Expand
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Highly Cited
2016
Highly Cited
2016
Single image haze removal is a challenging ill-posed problem. Existing methods use various constraints/priors to get plausible… Expand
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Highly Cited
2016
Highly Cited
2016
We trained a convolutional neural network (CNN) to map raw pixels from a single front-facing camera directly to steering commands… Expand
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Highly Cited
2016
Highly Cited
2016
Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end… Expand
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Highly Cited
2016
Highly Cited
2016
In this study, we investigate an end-to-end text-independent speaker verification system. The architecture consists of a deep… Expand
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Highly Cited
2015
Highly Cited
2015
In this paper, we present an end-to-end system for the unconstrained face verification problem based on deep convolutional neural… Expand
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Highly Cited
2015
Highly Cited
2015
  • Jie Zhou, Wei Xu
  • ACL
  • 2015
  • Corpus ID: 12688069
Semantic role labeling (SRL) is one of the basic natural language processing (NLP) problems. To this date, most of the successful… Expand
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Highly Cited
2014
Highly Cited
2014
Since the release of the large discourse-level annotation of the Penn Discourse Treebank (PDTB), research work has been carried… Expand
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Highly Cited
2010
Highly Cited
2010
In many enterprises today, WAN optimizers are being deployed in order to eliminate redundancy in network traffic and reduce WAN… Expand
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Highly Cited
2001
Highly Cited
2001
Under the assumption that queueing delays will eventually become small relative to propagation delays, we derive stability… Expand
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