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Neural sequence generation is typically performed token-by-token and left-to-right. Whenever a token is generated only previously produced tokens are taken into consideration. In contrast, for problems such as sequence classification,…

Machine Learning · Statistics 2019-09-18 Carolin Lawrence , Bhushan Kotnis , Mathias Niepert

Online social networks are a dominant medium in everyday life to stay in contact with friends and to share information. In Twitter, users can connect with other users by following them, who in turn can follow back. In recent years,…

Social and Information Networks · Computer Science 2022-05-06 Christoph Schweimer , Christine Gfrerer , Florian Lugstein , David Pape , Jan A. Velimsky , Robert Elsässer , Bernhard C. Geiger

In this paper, we consider joint network and LDPC coding for practically implementing the denosie-and-forward protocol over bi-directional relaying. the closed-form expressions for computing the log-likelihood ratios of the network-coded…

Information Theory · Computer Science 2011-05-13 Xiaofu Wu , Weijun Zeng , Chunming Zhao , Xiaohu You

In most clinical practice settings, there is no rigorous reviewing of the clinical documentation, resulting in inaccurate information captured in the patient medical records. The gold standard in clinical data capturing is achieved via…

Computation and Language · Computer Science 2021-05-25 George Michalopoulos , Helen Chen , Alexander Wong

For decentralised P2P networks, it is very important to have a mechanism in place that allows the nodes to control resource usage and prevent flooding and denial-of-service attacks with spam. In this paper, we discuss and compare the…

Networking and Internet Architecture · Computer Science 2018-10-30 Daniel Kraft

W3C's XML-Query language offers a powerful instrument for information retrieval on XML repositories. This article describes an implementation of this retrieval in a real world's scenario. Distributed XML-Query processing reduces load on…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Christian Thiemann , Michael Schlenker , Thomas Severiens

We are faced with data comprised of entities interacting over time: this can be individuals meeting, customers buying products, machines exchanging packets on the IP network, among others. Capturing the dynamics as well as the structure of…

Artificial Intelligence · Computer Science 2021-07-29 Tiphaine Viard , Henry Soldano , Guillaume Santini

Earlier there was no mode of online communication between users. In big or small organizations communication between users posed a challenge. There was a requirement to record these communications and store the data for further evaluation.…

Software Engineering · Computer Science 2021-07-12 Amey Thakur , Karan Dhiman

Power system communication networks enable operators to remotely monitor and control field equipment. The sophistication of these networks is also increasing as operators continue the trend towards digitization, which is beneficial in…

Systems and Control · Electrical Eng. & Systems 2024-10-15 Xavier Weiss , Lars Nordström , Patrik Hilber , Emre Süren

To stay competitive in today's data driven economy, enterprises large and small are turning to stream processing platforms to process high volume, high velocity, and diverse streams of data (fast data) as they arrive. Low-level programming…

Databases · Computer Science 2015-11-13 Milinda Pathirage , Beth Plale

Many of the video streaming applications in today's Internet involve the distribution of content from a CDN source to a large population of interested clients. However, widespread support of IP multicast is unavailable due to technical and…

Networking and Internet Architecture · Computer Science 2015-08-17 Kyoomars Alizadeh Noghani , M. Oguz Sunay

We present recurrent transformer networks (RTNs) for obtaining dense correspondences between semantically similar images. Our networks accomplish this through an iterative process of estimating spatial transformations between the input…

Computer Vision and Pattern Recognition · Computer Science 2018-10-30 Seungryong Kim , Stephen Lin , Sangryul Jeon , Dongbo Min , Kwanghoon Sohn

This paper (parts I and II) provides an expository introduction to monotone and near-monotone dynamical systems associated to biochemical networks, those whose graphs are consistent or near-consistent. Many conclusions can be drawn from…

Molecular Networks · Quantitative Biology 2007-05-23 Eduardo D. Sontag

Network steganography and covert communication channels have been studied extensively in the past. However, prior works offer minimal practical use for their proposed techniques and are limited to specific use cases and network protocols.…

Cryptography and Security · Computer Science 2025-11-11 Sirus Shahini , Robert Ricci

The amount of information produced, whether by newspapers, blogs and social networks, or by monitoring systems, is increasing rapidly. Processing all this data in real-time, while taking into consideration advanced knowledge about the…

Artificial Intelligence · Computer Science 2021-07-19 Ricardo Ferreira , Carolina Lopes , Ricardo Gonçalves , Matthias Knorr , Ludwig Krippahl , João Leite

Automated extraction of concepts from patient clinical records is an essential facilitator of clinical research. For this reason, the 2010 i2b2/VA Natural Language Processing Challenges for Clinical Records introduced a concept extraction…

Machine Learning · Statistics 2016-11-28 Raghavendra Chalapathy , Ehsan Zare Borzeshi , Massimo Piccardi

Mapping network flows provides insight into the organization of networks, but even though many real-networks are bipartite, no method for mapping flows takes advantage of the bipartite structure. What do we miss by discarding this…

Social and Information Networks · Computer Science 2020-11-18 Christopher Blöcker , Martin Rosvall

By placing computation resources within a one-hop wireless topology, the recent edge computing paradigm is a key enabler of real-time Internet of Things (IoT) applications. In the context of IoT scenarios where the same information from a…

Networking and Internet Architecture · Computer Science 2018-05-09 Sabur Baidya , Yan Chen , Marco Levorato

Channel charting (CC) is an unsupervised learning method allowing to locate users relative to each other without reference. From a broader perspective, it can be viewed as a way to discover a low-dimensional latent space charting the…

Networking and Internet Architecture · Computer Science 2022-12-29 Luc Le Magoarou , Taha Yassine , Stephane Paquelet , Matthieu Crussière

Current best practices heavily control user permissions on network systems. This effectively mitigates many insider threats regarding the collection and exfiltration of data. Many methods of covert communication involve crafting custom…

Cryptography and Security · Computer Science 2010-04-27 Kenton Born
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