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Criticality metrics such as time-to-collision (TTC) quantify collision urgency but conflate the consequences of false-positive (FP) and false-negative (FN) perception errors. We propose two novel effort-based metrics: False Speed Reduction…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Sharang Kaul , Simon Bultmann , Mario Berk , Abhinav Valada

Network coding-based link failure recovery techniques provide near-hitless recovery and offer high capacity efficiency. Diversity coding is the first technique to incorporate coding in this field and is easy to implement over small…

Networking and Internet Architecture · Computer Science 2013-04-24 Serhat Nazim Avci , Ender Ayanoglu

We consider the problem of controlling an unknown linear dynamical system under adversarially changing convex costs and full feedback of both the state and cost function. We present the first computationally-efficient algorithm that attains…

Machine Learning · Computer Science 2022-06-06 Asaf Cassel , Alon Cohen , Tomer Koren

The repair bandwidth of a code is the minimum amount of data required to repair one or several failed nodes (erasures). For MDS codes, the repair bandwidth is bounded below by the so-called cut-set bound, and codes that meet this bound with…

Information Theory · Computer Science 2017-10-20 Min Ye , Alexander Barg

Caching is frequently used by Internet Service Providers as a viable technique to reduce the latency perceived by end users, while jointly offloading network traffic. While the cache hit-ratio is generally considered in the literature as…

Networking and Internet Architecture · Computer Science 2014-08-27 Andrea Araldo , Michele Mangili , Fabio Martignon , Dario Rossi

Data quality plays a key role in big data management today. With the explosive growth of data from a variety of sources, the quality of data is faced with multiple problems. Motivated by this, we study the multiple data quality improvement…

Databases · Computer Science 2018-08-02 Xiaoou Ding , Hongzhi Wang , Jiaxuan Su , Jianzhong Li , Hong Gao

Due to the system scaling, transient errors caused by external noises, e.g., heat fluxes and particle strikes, have become a growing concern for the current and upcoming extreme-scale high-performance-computing (HPC) systems. However, since…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-10 Chao Chen , Greg Eisenhauer , Santosh Pande

We present an extension to the labelling approach, a technique for lifting resource consumption information from compiled to source code. This approach, which is at the core of the annotating compiler from a large fragment of C to 8051…

Programming Languages · Computer Science 2013-06-13 Paolo Tranquilli

Performance bugs are non-functional bugs that can even manifest in well-tested commercial products. Fixing these performance bugs is an important yet challenging problem. In this work, we address this challenge and present a new approach…

Software Engineering · Computer Science 2025-01-10 Spandan Garg , Roshanak Zilouchian Moghaddam , Neel Sundaresan

Sparse coding and dictionary learning are popular techniques for linear inverse problems such as denoising or inpainting. However in many cases, the measurement process is nonlinear, for example for clipped, quantized or 1-bit measurements.…

Signal Processing · Electrical Eng. & Systems 2020-01-08 Lucas Rencker , Francis Bach , Wenwu Wang , Mark D. Plumbley

Topological stabilizer codes with different spatial dimensions have complementary properties. Here I show that the spatial dimension can be switched using gauge fixing. Combining 2D and 3D gauge color codes in a 3D qubit lattice,…

Quantum Physics · Physics 2016-05-13 H. Bombin

Estimating the number of degrees of freedom of a mechanical system or an engineering structure from the time-series of a small set of sensors is a basic problem in diagnostics, which, however, is often overlooked when monitoring their…

Data Analysis, Statistics and Probability · Physics 2022-03-08 Paolo Celli , Maurizio Porfiri

Using fault-tolerant constructions, computations performed with unreliable components can simulate their noiseless counterparts though the introduction of a modest amount of redundancy. Given the modest overhead required to achieve…

Computational Engineering, Finance, and Science · Computer Science 2023-11-07 Andrew K. Tan , Isaac L. Chuang

Quantum computers require high fidelity quantum gates. These gates are obtained by routine calibration tasks that eat into the availability of cloud-based devices. Restless circuit execution speeds-up characterization and calibration by…

Quantum Physics · Physics 2023-11-10 Conrad J. Haupt , Daniel J. Egger

Future systems based on nano-scale devices will provide great potentials for scaling up in system complexity, yet they will be highly susceptible to operational faults. While spare units can be generally used to enhance reliability, they…

Hardware Architecture · Computer Science 2018-12-05 Soroush Khaleghi , Wenjing Rao

We propose a new partial-observability model for online learning problems where the learner, besides its own loss, also observes some noisy feedback about the other actions, depending on the underlying structure of the problem. We represent…

Machine Learning · Computer Science 2026-04-16 Tomáš Kocák , Gergely Neu , Michal Valko

An accountable distributed system provides means to detect deviations of system components from their expected behavior. It is natural to complement fault detection with a reconfiguration mechanism, so that the system could heal itself, by…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-15 Luciano Freitas de Souza , Petr Kuznetsov , Thibault Rieutord , Sara Tucci-Piergiovanni

This paper introduces a simple index that helps to assess the degree of aging or rejuvenation of a (non)repairable system. The index ranges from -1 to 1 and is negative for the class of decreasing failure rate distributions (or…

Methodology · Statistics 2007-11-22 Mark Kaminskiy , Vasiliy Krivtsov

Screening rules allow to early discard irrelevant variables from the optimization in Lasso problems, or its derivatives, making solvers faster. In this paper, we propose new versions of the so-called $\textit{safe rules}$ for the Lasso.…

Machine Learning · Statistics 2015-12-07 Olivier Fercoq , Alexandre Gramfort , Joseph Salmon

We consider the probability of data loss, or equivalently, the reliability function for an erasure coded distributed data storage system under worst case conditions. Data loss in an erasure coded system depends on probability distributions…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-18 Antonio Campello , Vinay A. Vaishampayan
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