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Deep-learning-based compressor has received interests recently due to much improved compression ratio. However, modern approaches suffer from long execution time. To ease this problem, this paper targets on cutting down the execution time…

Machine Learning · Computer Science 2022-04-04 Yu Mao , Yufei Cui , Tei-Wei Kuo , Chun Jason Xue

Process mining leverages event data extracted from IT systems to generate insights into the business processes of organizations. Such insights benefit from explicitly considering the frequency of behavior in business processes, which is…

Formal Languages and Automata Theory · Computer Science 2025-07-10 Tian Li , Artem Polyvyanyy , Sander J. J. Leemans

Intelligent transportation systems (ITSs) and other smart-city technologies are increasingly advancing in capability and complexity. While simulation environments continue to improve, their fidelity and ease of use can quickly degrade as…

Physics and Society · Physics 2019-07-31 Adam Morrissett , Roja Eini , Mostafa Zaman , Nasibeh Zohrabi , Sherif Abdelwahed

We consider the task of analyzing message-passing programs by observing their run-time behavior. We introduce a purely library-based instrumentation method to trace communication events during execution. A model of the dependencies among…

Programming Languages · Computer Science 2018-01-31 Martin Sulzmann , Kai Stadtmüller

Developing multithreaded software is an extremely challenging task, even for experienced programmers. The challenge does not end after the code is written. There are other tasks associated with a development process that become…

Software Engineering · Computer Science 2014-09-04 Evgeny Vainer , Amiram Yehudai

To improve safety and energy efficiency, autonomous vehicles are expected to drive smoothly in most situations, while maintaining their velocity below a predetermined speed limit. However, some scenarios such as low road adherence or…

Systems and Control · Computer Science 2017-04-05 Florent Altché , Philip Polack , Arnaud de la Fortelle

Traceroute is a networking tool that allows one to discover the path that packets take from a source machine, through the network, to a destination machine. It is widely used as an engineering tool, and also as a scientific tool, such as…

Networking and Internet Architecture · Computer Science 2007-05-23 Benoit Donnet Philippe Raoult Timur Friedman

Logs play a crucial role in modern software systems, serving as a means for developers to record essential information for future software maintenance. As the performance of these log-based maintenance tasks heavily relies on the quality of…

Software Engineering · Computer Science 2024-04-01 Xiaoyuan Xie , Zhipeng Cai , Songqiang Chen , Jifeng Xuan

Deep Learning experiments have critical requirements regarding the careful handling of their datasets as well as the efficient and correct usage of APIs that interact with hardware accelerators. On the one hand, software mistakes during…

Programming Languages · Computer Science 2025-01-03 Nick Papoulias

Writing specifications for computer programs is not easy since one has to take into account the disparate conceptual worlds of the application domain and of software development. To bridge this conceptual gap we propose controlled natural…

cmp-lg · Computer Science 2008-02-03 Norbert E. Fuchs , Rolf Schwitter

This paper describes our experiences creating Tornado: a practical and efficient heterogeneous programming framework for managed languages. The novel aspect of Tornado is that it turns the programming of heterogeneous systems from an…

Programming Languages · Computer Science 2018-03-02 James Clarkson , Christos Kotselidis

In this paper, we solve the problem of finding a certified control policy that drives a robot from any given initial state and under any bounded disturbance to the desired reference trajectory, with guarantees on the convergence or bounds…

Robotics · Computer Science 2020-11-26 Dawei Sun , Susmit Jha , Chuchu Fan

The complex nonlinear dynamics of hydraulic excavators, such as time delays and control coupling, pose significant challenges to achieving high-precision trajectory tracking. Traditional control methods often fall short in such applications…

Robotics · Computer Science 2026-04-29 Ziqing Zou , Cong Wang , Yue Hu , Xiao Liu , Bowen Xu , Rong Xiong , Changjie Fan , Yingfeng Chen , Yue Wang

The speed-precision trade-off is a critical problem for visual object tracking which usually requires low latency and deployment on constrained resources. Existing solutions for efficient tracking mainly focus on adopting light-weight…

Computer Vision and Pattern Recognition · Computer Science 2025-04-04 Jiawen Zhu , Xin Chen , Haiwen Diao , Shuai Li , Jun-Yan He , Chenyang Li , Bin Luo , Dong Wang , Huchuan Lu

Runtime monitoring is one of the central tasks to provide operational decision support to running business processes, and check on-the-fly whether they comply with constraints and rules. We study runtime monitoring of properties expressed…

Artificial Intelligence · Computer Science 2014-05-02 Giuseppe De Giacomo , Riccardo De Masellis , Marco Grasso , Fabrizio Maggi , Marco Montali

Analyzing the dynamical properties of mobile objects requires to extract trajectories from recordings, which is often done by tracking movies. We compiled a database of two-dimensional movies for very different biological and physical…

Quantitative Methods · Quantitative Biology 2021-06-09 Benjamin Gallois , Raphaël Candelier

We show how to systematically implement an algorithm in any imperative or functional programming language. The method is based on the premise that it is easy to write down how an algorithm proceeds on a concrete input. This…

Software Engineering · Computer Science 2020-04-28 Maurice Chandoo

Runtime monitoring is one of the central tasks in the area of operational decision support for business process management. In particular, it helps process executors to check on-the-fly whether a running process instance satisfies business…

Logic in Computer Science · Computer Science 2020-04-08 Giuseppe De Giacomo , Riccardo De Masellis , Fabrizio Maria Maggi , Marco Montali

We introduce CoTracker, a transformer-based model that tracks a large number of 2D points in long video sequences. Differently from most existing approaches that track points independently, CoTracker tracks them jointly, accounting for…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Nikita Karaev , Ignacio Rocco , Benjamin Graham , Natalia Neverova , Andrea Vedaldi , Christian Rupprecht

This study underscores the vital importance of intelligent driving functions in enhancing road safety and driving comfort. Central to our research is the challenge of obtaining sufficient test data for evaluating these functions, especially…

Robotics · Computer Science 2024-02-06 Nico Schick , Franjo Čičak
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