Results 21 to 30 of about 4,256,847 (295)
, 2011 Design of high-efficiency low-complexity detection schemes for ultrawide bandwidth (UWB) systems is highly challenging. This contribution proposes a reduced-rank adaptive multiuser detection (MUD) scheme operated in least bit-errorrate (LBER) principles ...
Ahmed, Qasim +5 more
core +2 more sources
A bayesian approach to adaptive detection in nonhomogeneous environments [PDF]
, 2008 We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for adaptation do not share the same covariance matrix as the vector under test. A Bayesian
Bidon, Stéphanie +2 more
core +1 more source
Abnormal Driving Behavior Detection Method Based on Adaptive Gamma Correction [PDF]
Jisuanji gongcheng, 2023 To address the problems of low detection accuracy and slow detection speed of heavy truck driver abnormal driving behavior detection methods under low illumination conditions, an abnormal driving behaviors detection method based on adaptive Gamma ...
Qingsong AI, Haozhe ZHANG, Junwei YAN
doaj +1 more source
Domain Adaptation for Sequential Detection [PDF]
, 2013 We propose a domain adaptation method for sequential decision-making process. While most of the state-of-the-art approaches focus on SVM detectors, we propose the domain adaptation method for the sequential detector similar to WaldBoost, which is suitable for real-time processing.
Simon Fojtu +3 more
openaire +2 more sources
Adaptive Minimum Bit Error Rate Beamforming [PDF]
, 2005 An adaptive beamforming technique is proposed based on directly minimizing the bit error rate. It is demonstrated that this minimum bit error rate (MBER) approach utilizes the antenna array elements more intelligently, than the standard minimum mean ...
N. N. Ahmad +6 more
core +2 more sources
Adaptive Multi-Camera System for Real Time Object Detection [PDF]
, 2011 In this paper we present an adaptive multi-camera system for real time object detection able to efficiently adjust the computational requirements of video processing blocks to the available processing power and the activity of the scene.
Camplani, Massimo +4 more
core +1 more source
International Journal of Networked and Distributed Computing (IJNDC), 2020 This article presents the threshold-based incremental learning model for a case-base updating approach that can support adaptive detection and incremental learning of Case-based Reasoning (CBR)-based automatic adaptable phishing detection.
San Kyaw Zaw, Sangsuree Vasupongayya
doaj +1 more source
Anomaly Detection with Domain Adaptation
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 We study the problem of semi-supervised anomaly detection with domain adaptation. Given a set of normal data from a source domain and a limited amount of normal examples from a target domain, the goal is to have a well-performing anomaly detector in the target domain.
Ziyi Yang 0011 +2 more
openaire +3 more sources
Temporal Decay Loss for Adaptive Log Anomaly Detection in Cloud Environments
SensorsLog anomaly detection in cloud computing environments is essential for maintaining system reliability and security. While sequence modeling architectures such as LSTMs and Transformers have been widely employed to capture temporal dependencies in log ...
Lelisa Adeba Jilcha +2 more
doaj +1 more source
Adaptive Weights Community Detection
, 2022 Preprint: Weierstraß-Institut für Angewandte Analysis und Stochastik, vol ...
Besold, Franz, Spokoiny, Vladimir
openaire +2 more sources