Results 251 to 260 of about 4,256,847 (295)

Adaptive sequential compressive detection

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014
Sparsity is at the heart of numerous applications dealing with multidimensional phenomena with low-information content. The primary question that this work investigates is whether, and how much, further compressive gains could be achieved if the goal of the inference task does not require exact reconstruction of the underlying signal. In particular, if
Mardani, Davood, Atia, George K.
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Terrain-adaptive obstacle detection

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Reliable detection and avoidance of obstacles is a crucial prerequisite for autonomously navigating robots as both guarantee safety and mobility. To ensure safe mobility, the obstacle detection needs to run online, thereby taking limited resources of autonomous systems into account. At the same time, robust obstacle detection is highly important. Here,
Benjamin Suger, Bastian Steder, Wolfram Burgard   +2 more
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Adaptive Multiuser Detection

Proceedings of IEEE 3rd International Symposium on Spread Spectrum Techniques and Applications (ISSSTA'94), 1995
An important thrust in research in multiuser detection is the design of adaptive detectors, which self-tune the detector parameters from the observation of the received waveform. The literature on this subject is surveyed in this tutorial paper.
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An adaptive failure detection protocol

Proceedings 2001 Pacific Rim International Symposium on Dependable Computing, 2002
The detection of process failures is a crucial problem system designers have to cope with in order to build fault-tolerant distributed platforms. Unfortunately, it is impossible to distinguish with certainty a crashed process from a very slow process in a purely asynchronous distributed system.
Christof Fetzer, Michel Raynal, Frederic Tronel   +2 more
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Occlusion Detection for Dynamic Adaptation

2020
Occlusion is a common issue for object detection and tracking applications using a remote sensor platform, especially in complex urban environments where occlusions from buildings, bridges, and trees are frequent events. While occlusions are unavoidable, the events can be predicted to occur before the object of interest is obscured if there is prior ...
Zachary Mulhollan, Aneesh Rangnekar, Anthony Vodacek, Matthew J. Hoffman 0001   +3 more
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Adaptive Sequence Phase Detection

2019 IEEE International Symposium on Information Theory (ISIT), 2019
A phase detection sequence is a length-n cyclic sequence such that the location of any length-k contiguous subsequence can be determined from a noisy observation of that subsequence. In this paper, we consider the problem of designing phase detection sequences that allow adaptive phase detection for different noise levels at the detector.
Wang, Lele, Shayevitz, Ofer
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Adaptive detection for DS-CDMA

Proceedings of the IEEE, 1998
A review of adaptive detection techniques for direct-sequence code division multiple access (CDMA) signals is given. The goal is to improve CDMA system performance and capacity by reducing interference between users. The techniques considered are implementations of multiuser receivers, for which background material is given. Adaptive algorithms improve
Graeme Woodward, Branka Vucetic
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Adaptive Detection of Local Scanners

2006
Network attacks often employ scanning to locate vulnerable hosts and services. Fast and accurate detection of local scanners is key to containing an epidemic in its early stage. Existing scan detection schemes use statically determined detection criteria, and as a result do not respond well to traffic perturbations.
Ahren Studer, Chenxi Wang
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Detecting and adapting to drifting concepts

2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
The importance of incremental learning in changing environments has been acknowledged in recent years. In this paper we present an ensemble learning method for supervised learning with drifting concepts. The method employs hypothesis test as mechanism for detecting concept drift and learns a base classifier for each new training data chunk.
Haixia Chen, Shengxian Ma, Kai Jiang
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ADAPTIVE PROCEDURES FOR DETECTION OF CHANCE

Statistics & Risk Modeling, 1988
\textit{P. K. Sen} [Z. Wahrscheinlichkeitstheor. Verw. Geb. 52, 203-218 (1980; Zbl 0454.62061) and Math. Operationsforsch. Stat., Ser. Stat. 13, 21-32 (1982; Zbl 0546.62023)] developed the test procedures based on ranks for detection of small changes in the regression model occurring at an unknown time point.
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