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An Informative Tracking Benchmark
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<span title="2021-12-13">2021</span>
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arXiv
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Along with the rapid progress of visual tracking, existing benchmarks become less informative due to redundancy of samples and weak discrimination between current trackers, making evaluations on all datasets ...
In this work, we develop a principled way to construct a small and informative tracking benchmark (ITB) with 7% out of 1.2 M frames of existing and newly collected datasets, which enables efficient evaluation ...
In this paper, we construct an informative benchmark with diverse scenarios and high-quality sequences to address the above-mentioned issues. ...
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An IMMPDAF Solution to Benchmark Problem for Tracking in Clutter and Stand-off Jammer
<span title="">1999</span>
<i title="Procon, Ltd.">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tvg6uqc2trf33c7i7fjhmumtru" style="color: black;">Information & Security An International Journal</a>
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An IMMPDA tracking filter satisfying the benchmark performance criteria is designed. ...
The IMMPDA filter is an algorithm for tracking that can realize simultaneously track formation and maintenance. ...
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Why maximising information ratios is incorrect
<span title="2005-12-01">2005</span>
<i title="Springer Nature">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ef67ilzhrfhlxonkvjb43ofiqm" style="color: black;">Derivatives Use Trading & Regulation</a>
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He also serves as Managing entire fund, rather than the information ratio on the active component. ...
The literature on maximising information ratios focuses only on the active management process and ignores two actions used by clients or managers to improve risk-adjusted performance: passive management ...
This shows that, if an investor normalises for standard deviation or tracking error in the correct manner to determine the highest risk-adjusted return, the (2) maximise the information ratio on double ...
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Minimum-Information-Entropy-Based Control Performance Assessment
<span title="2013-02-27">2013</span>
<i title="MDPI AG">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4d3elkqvznfzho6ki7a35bt47u" style="color: black;">Entropy</a>
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For the unknown time delay case, the minimum information entropy (MIE) benchmark is presented, and a MIE-based performance index is defined. ...
Generally, the controller design should be performed to narrow the shape of the probability density function of the tracking error. ...
The reason is that the performance benchmark ln( 2 exp(1) ) or mv ln( 2 exp(1) ) is still an ideal information entropy benchmark with the non-Gaussian disturbance. ...
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CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
<span title="">2019</span>
<i title="IEEE">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ilwxppn4d5hizekyd3ndvy2mii" style="color: black;">2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</a>
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We conducted an extensive experimental evaluation of baselines/state-of-the-art approaches in MTMC tracking, multi-target single-camera (MTSC) tracking, object detection, and image-based ReID on this dataset ...
An evaluation server is launched with the release of our benchmark at the 2019 AI City Challenge that allows researchers to compare the performance of their newest techniques. ...
Figure 1 . 1 MTMC tracking combines MTSC tracking, image-based ReID, and spatio-temporal information. ...
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Modern Portfolio Management with Conditioning Information
<span title="">2008</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a>
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This paper studies models in which active portfolio managers optimize performance relative to a benchmark and utilize conditioning information unavailable to their clients. ...
JEL Classification: C44, G11 Abstract This paper studies models in which active portfolio managers optimize performance relative to a benchmark and utilize conditioning information unavailable to their ...
Thus, a tracking error investor ends up with an induced "hedging demand" relative to the benchmark portfolio. ...
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Performance Measurement via Random Portfolios
<span title="">2004</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a>
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Problems with performance measurement using information ratios relative to a benchmark are exposed. ...
The issue of the proper attitude towards tracking error is broached, but left largely undecided. ...
Traditionally there has been another reason to prefer small tracking errors: small tracking errors enhance the ability to declare skill when information ratios are used. Consider an extreme case. ...
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On a Model of Portfolio Selection with Benchmark
<span title="">2000</span>
<i title="Elsevier BV">
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lie on the TEV or on the TEV and EV criterion; and • An analytical solution to a general tracking model has not yet been derived, except to a restricted one Abstract Evidently, the theoretical foundation ...
Recently, Chow (1995) proposed a target function, which includes both an EV and a TEV component. ...
variance of tracking error, however, an equilibrium vector b exists, and those managers will generate publicly available information. ...
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PORTFOLIO OPTIMIZATION UNDER TRACKING ERROR AND WEIGHTS CONSTRAINTS
<span title="">2011</span>
<i title="Wiley">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3c3uon2yjzgqpcob5br335bcdq" style="color: black;">Journal of Financial Research</a>
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Abstract This article addresses the problem of an active portfolio manager whose performances are assessed against a benchmark and who must comply with a weights constraint. ...
In particular, we obtain that, due to the weights constraint, at the optimum, the Information Ratio often decreases when the manager is free to deviate more from the benchmark. ...
An alternative definition of the Information Ratio and Tracking error is based on a regression of the return of the portfolio on the return of the benchmark. ...
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Portfolio Optimization Under Tracking Error and Weights Constraints
<span title="">2007</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a>
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Abstract This article addresses the problem of an active portfolio manager whose performances are assessed against a benchmark and who must comply with a weights constraint. ...
In particular, we obtain that, due to the weights constraint, at the optimum, the Information Ratio often decreases when the manager is free to deviate more from the benchmark. ...
An alternative definition of the Information Ratio and Tracking error is based on a regression of the return of the portfolio on the return of the benchmark. ...
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First International Competition on Software for Runtime Verification
[chapter]
<span title="">2014</span>
<i title="Springer International Publishing">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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This includes the procedures, participating teams, submitted benchmarks, and evaluation process. ...
The Competition was organized in three tracks: offline monitoring, online monitoring of C programs, and online monitoring of Java programs. ...
the program), instrumentation information, and an English description. ...
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VCWC: A Versioning Competition Workflow Compiler
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<span title="">2013</span>
<i title="Springer Berlin Heidelberg">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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Each node in this DAG encodes the job type, which is an instance run, a solver summary statistics, a benchmark ranking, or the track ranking job. ...
The selected instances of a benchmark are stored in those subdirectories. Furthermore, additional information is required for mapping benchmarks to participating solvers. ...
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Efficient Visual Tracking with Stacked Channel-Spatial Attention Learning
<span title="">2020</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
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The proposed tracking framework learns what and where to highlight important target information for efficient tracking. ...
Spatial attention is focusing on the most informative region of the target feature map. ...
EVALUATION ON TEMPLE COLOR-128 BENCHMARK The temple color-128 (TC-128) benchmark [29] includes 128 video sequences for tracker performance evaluation to address the lack of color information in visual ...
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Semi-automated Usability Analysis through Eye Tracking
<span title="2018-07-10">2018</span>
<i title="South African Institute of Computer Scientists and Information Technologists">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/f66jynflfrcsjpsun64gewa7pi" style="color: black;">South African Computer Journal</a>
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Eye tracking is a popular approach to usability evaluation, but is time consuming and requires expert analysis. ...
The approach is demonstrated on the eye tracking data from a mobile procurement application involving 33 participants. ...
eye tracking data is estimated to take up to an hour to analyse by an expert (Holland et al., 2012) ). ...
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Auto-Selecting Receptive Field Network for Visual Tracking
<span title="">2019</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
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To settle the problem, we propose an Auto-Selecting Receptive Field Network (ASRF) to select receptive field information and effective clues dynamically. ...
The proposed ASRF method performs favorably against state-of-the-art trackers on five benchmarks, including OTB-2013, OTB-2015, UAV-123, VOT-2015, and VOT-2017 while running beyond real-time tracking speed ...
On the real-time VOT-2017 benchmark, ASRF achieves first place with an EAO of 0.231. ...
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