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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 57 occurrences of 52 keywords
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Results
Found 228 publication records. Showing 228 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
135 | Yang Yang 0011, Rick S. Blum |
Energy-efficient routing for signal detection under the Neyman-Pearson criterion in wireless sensor networks. |
IPSN |
2007 |
DBLP DOI BibTeX RDF |
Neyman-Pearson criterion, passive sensing, wireless sensor networks, routing, energy efficiency, combinatorial optimization, in-network processing, signal detection, active sensing |
127 | Abhijeet Sangwan, Wei-Ping Zhu 0001, M. Omair Ahmad |
Design and Performance Analysis of Bayesian, Neyman-Pearson, and Competitive Neyman-Pearson Voice Activity Detectors. |
IEEE Trans. Signal Process. |
2007 |
DBLP DOI BibTeX RDF |
|
102 | Darrin C. Edwards, Charles E. Metz |
Optimization of Restricted ROC Surfaces in Three-Class Classification Tasks. |
IEEE Trans. Medical Imaging |
2007 |
DBLP DOI BibTeX RDF |
|
86 | Frank Hampel |
The Proper Fiducial Argument. |
GTIT-C |
2006 |
DBLP DOI BibTeX RDF |
Fiducial argument, fiducial probability, R.A. Fisher, foundations of statistics, aleatory probabilities, epistemic probabilities, structure of epistemic probabilities, upper and lower probabilities, frequentist statistics, axiom of frequentist epistemic probability, intersubjective statistics, bets, odds, fair bets, successful bets, aposteriori interpretation of confidence intervals, Neyman-Pearson statistics, Behrens-Fisher problem, statistical inference, confidence interval, Bayesian statistics |
84 | Mark A. Davenport, Richard G. Baraniuk, Clayton D. Scott |
Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2010 |
DBLP DOI BibTeX RDF |
Minimax classification, Neyman-Pearson classification, support vector machine, error estimation, parameter selection |
84 | Amir Zjajo, José Pineda de Gyvez, Guido Gronthoud |
Structural Fault Modeling and Fault Detection Through Neyman-Pearson Decision Criteria for Analog Integrated Circuits. |
J. Electron. Test. |
2006 |
DBLP DOI BibTeX RDF |
structural fault modeling, analog fault modeling, Neyman-Pearson decision, fault detection, analog test, supply current monitoring |
71 | Tara Ali-Yahiya, Hakima Chaouchi |
A Quality of Service Based Mobility Management in Heterogenous Wireless Networks. |
NEW2AN |
2009 |
DBLP DOI BibTeX RDF |
Neyman-Pearson, Handover, WiFi, Mobile WiMAX |
71 | Petro M. Gopych, Anna Kolot |
Psychometric Functions Within the Framework of Binary Signal Detection Theory: Coding the Face Identity. |
IDEAL |
2007 |
DBLP DOI BibTeX RDF |
generalization through memory, Neyman-Pearson objective, prototype face identification model, neural networks, face recognition |
71 | Hamza Dahmouni, Sandrine Vaton, David Rossé |
A markovian signature-based approach to IP traffic classification. |
MineNet |
2007 |
DBLP DOI BibTeX RDF |
Neyman-Pearson, service recognition, Markov chain, network monitoring, maximum likelihood, traffic classification |
71 | Sarat C. Dass, Karthik Nandakumar, Anil K. Jain 0001 |
A Principled Approach to Score Level Fusion in Multimodal Biometric Systems. |
AVBPA |
2005 |
DBLP DOI BibTeX RDF |
Biometric recognition, multimodal biometric systems, Gaussian copula models, Generalized densities, Neyman-Pearson theorem, fusion |
71 | Pascal Junod, Serge Vaudenay |
Optimal Key Ranking Procedures in a Statistical Cryptanalysis. |
FSE |
2003 |
DBLP DOI BibTeX RDF |
Key ranking, statistical cryptanalysis, Neyman-Pearson lemma, linear cryptanalysis |
71 | Michel Chapron |
A Chromatic Contour Detector based on Abrupt Change Techniques. |
ICIP (3) |
1997 |
DBLP DOI BibTeX RDF |
chromatic contour detector, abrupt change techniques, colour image segmentation, Neyman-Pearson's optimal decision, exponential noise, edge detection, differential geometry, image colour analysis, tensors, Gaussian noise |
64 | Ashok Patel, Bart Kosko |
Optimal noise benefits in Neyman-Pearson signal detection. |
ICASSP |
2008 |
DBLP DOI BibTeX RDF |
|
64 | Clayton Scott |
Performance Measures for Neyman-Pearson Classification. |
IEEE Trans. Inf. Theory |
2007 |
DBLP DOI BibTeX RDF |
|
64 | Alex S. Leong, Subhrakanti Dey, Jamie S. Evans |
Error Exponents for Neyman-Pearson Detection of Markov Chains in Noise. |
IEEE Trans. Signal Process. |
2007 |
DBLP DOI BibTeX RDF |
|
64 | Youngchul Sung, Lang Tong, H. Vincent Poor |
Neyman-pearson detection of gauss-Markov signals in noise: closed-form error exponentand properties. |
IEEE Trans. Inf. Theory |
2006 |
DBLP DOI BibTeX RDF |
|
64 | Adel Mohammadpour, Ali Mohammad-Djafari |
On Neyman-Pearson Lemma for Crisp, Random and Fuzzy Hypotheses. |
SMPS |
2006 |
DBLP DOI BibTeX RDF |
|
64 | Clayton D. Scott, Robert D. Nowak |
A Neyman-Pearson approach to statistical learning. |
IEEE Trans. Inf. Theory |
2005 |
DBLP DOI BibTeX RDF |
|
64 | David de la Mata-Moya, Pilar Jarabo Amores, Manuel Rosa-Zurera, Francisco López-Ferreras, Raul Vicen-Bueno |
Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural Networks. |
ICANN (2) |
2005 |
DBLP DOI BibTeX RDF |
|
64 | Diego Andina, Santiago Torres-Alegre, Antonio Vega-Corona, Antonio Álvarez-Vellisco |
Advances in Neyman-Pearson Neural Detectors Design. |
IWANN (2) |
2003 |
DBLP DOI BibTeX RDF |
|
64 | Diego Andina, José L. Sanz-González |
Neyman-Pearson Neural Detectors. |
IWANN (2) |
2001 |
DBLP DOI BibTeX RDF |
|
64 | George J. Mamic, Mohammed Bennamoun |
Automatic Flaw Detection in Textiles Using a Neyman-Pearson Detector. |
ICPR |
2000 |
DBLP DOI BibTeX RDF |
|
51 | Hao Chen 0001, Pramod K. Varshney |
Theory of the Stochastic Resonance Effect in Signal Detection - Part II: Variable Detectors. |
IEEE Trans. Signal Process. |
2008 |
DBLP DOI BibTeX RDF |
|
51 | Liang Xiao 0003, Larry J. Greenstein, Narayan B. Mandayam, Wade Trappe |
A Physical-Layer Technique to Enhance Authentication for Mobile Terminals. |
ICC |
2008 |
DBLP DOI BibTeX RDF |
|
51 | Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win |
Asymptotic Performance of a Censoring Sensor Network. |
IEEE Trans. Inf. Theory |
2007 |
DBLP DOI BibTeX RDF |
|
51 | Yang Yang 0011, Rick S. Blum |
Routing for Emitter/Reflector Signal Detection in Wireless Sensor Network Systems. |
ICC |
2007 |
DBLP DOI BibTeX RDF |
|
46 | Karthik Nandakumar, Yi Chen 0015, Sarat C. Dass, Anil K. Jain 0001 |
Likelihood Ratio-Based Biometric Score Fusion. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2008 |
DBLP DOI BibTeX RDF |
Multibiometric systems, score level fusion, Neyman-Pearson theorem, Gaussian mixture model, image quality, likelihood ratio test |
46 | Roger W. Ehrich, Kenneth J. Koehler |
Experiments in the Contextual Recognition of Cursive Script. |
IEEE Trans. Computers |
1975 |
DBLP DOI BibTeX RDF |
Admissible sequence, binary diagram, Neyman-Pearson, segment mark, substitution set, pattern recognition, context, correlator, dictionary, likelihood ratio, cursive script |
38 | Xi Zhang 0005, Qixuan Zhu, H. Vincent Poor |
Neyman-Pearson Criterion Driven NFV-SDN Architectures and Optimal Resource-Allocations for Statistical-QoS Based mURLLC Over Next- Generation Metaverse Mobile Networks Using FBC. |
IEEE J. Sel. Areas Commun. |
2024 |
DBLP DOI BibTeX RDF |
|
38 | Mohammadreza M. Kalan, Samory Kpotufe |
Distribution-Free Rates in Neyman-Pearson Classification. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
38 | Songkai Liu, Shuchi Liu, Xin Li, Yingzhong Gu, Zhenxing Li, Chao Yang, Yating Zhang, Jingzhe Hu, Rui Tan 0005, Cong Liu |
Neyman-Pearson Umbrella Algorithm-Based Static Voltage Stability Assessment With Misclassification Restriction: An Integrated Data-Driven Scheme. |
IEEE Trans. Ind. Informatics |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Ying Wang, Xueke Zheng, Le Wang, Gavin Lu, Yixing Jia, Kezhi Li, Mian Li 0001 |
Sensor fault detection of vehicle suspension systems based on transmissibility operators and Neyman-Pearson test. |
Reliab. Eng. Syst. Saf. |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Yunrong Zhu, Yang Li 0136, Qiming Zhang |
False-Alarm-Controllable Radar Target Detection by Differentiable Neyman Pearson Criterion for Neural Network. |
IEEE Trans. Geosci. Remote. Sens. |
2023 |
DBLP DOI BibTeX RDF |
|
38 | R. A. Ognev, Dmitry P. Zegzhda |
Empirical Study of the Stability of a Linear Filter Based on the Neyman-Pearson Criterion to Changes in the Average Values. |
Autom. Control. Comput. Sci. |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Josh Givens, Song Liu, Henry W. J. Reeve |
Density Ratio Estimation and Neyman Pearson Classification with Missing Data. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Narasimha Rao Banavathu |
Optimal Generic L-Out-of-M Counting Rule for Neyman-Pearson Test in Cognitive Radio Networks. |
IEEE Netw. Lett. |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Josh Givens, Song Liu, Henry W. J. Reeve |
Density Ratio Estimation and Neyman Pearson Classification with Missing Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
38 | Dimas Irion Alves, Crístian Müller, Bruna Gregory Palm, Mats I. Pettersson, Viet Thuy Vu, Renato B. Machado, Bartolomeu F. Uchôa Filho, Patrik B. G. Dammert, Hans Hellsten |
Neyman-Pearson Criterion-Based Change Detection Methods for Wavelength-Resolution SAR Image Stacks. |
IEEE Geosci. Remote. Sens. Lett. |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Goran Kekovic, Lazar Kopanja, Negovan Stamenkovic |
Computer Simulation of Extended Neyman-Pearson Detector in Monostatic Pulse Radar. |
J. Circuits Syst. Comput. |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Lijia Wang, Y. X. Rachel Wang, Jingyi Jessica Li, Xin Tong |
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Parham Boroumand, Albert Guillén i Fàbregas |
Universal Neyman-Pearson Classification with a Known Hypothesis. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Yinan Hu, Quanyan Zhu |
Game-Theoretic Neyman-Pearson Detection to Combat Strategic Evasion. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Guangyang Zeng, Xiaoqiang Ren, Junfeng Wu 0001 |
Low-Complexity Distributed Detection With One-Bit Memory Under Neyman-Pearson Criterion. |
IEEE Trans. Control. Netw. Syst. |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Parham Boroumand, Albert Guillén i Fàbregas |
Composite Neyman-Pearson Hypothesis Testing with a Known Hypothesis. |
ITW |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Yinan Hu, Quanyan Zhu |
Evasion-Aware Neyman-Pearson Detectors: A Game-Theoretic Approach. |
CDC |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Jing Yan, Wenjing Zhao, Minglu Jin |
Improved Neyman-Pearson Network for MIMO Radar Moving Target Detection. |
ICTC |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Basarbatu Can, Hüseyin Özkan |
Active Learning for Online Nonlinear Neyman-Pearson Classification. |
SIU |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Mark Rubin |
What type of Type I error? Contrasting the Neyman-Pearson and Fisherian approaches in the context of exact and direct replications. |
Synth. |
2021 |
DBLP DOI BibTeX RDF |
|
38 | Ting Yang, Yu Li, Shiju Yang, Shujun Liu |
Stochastic Resonance Effect in Optimal Decision Solution Under Neyman-Pearson Criterion. |
Circuits Syst. Signal Process. |
2021 |
DBLP DOI BibTeX RDF |
|
38 | Ye Tian, Yang Feng |
Neyman-Pearson Multi-class Classification via Cost-sensitive Learning. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
38 | Shunan Yao, Bradley Rava, Xin Tong, Gareth James |
Asymmetric error control under imperfect supervision: a label-noise-adjusted Neyman-Pearson umbrella algorithm. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
38 | Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard |
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
38 | Zachary Baird, Michael K. McDonald, Sreeraman Rajan, Simon J. Lee |
A Neyman-Pearson Criterion-Based Neural Network Detector for Maritime Radar. |
FUSION |
2021 |
DBLP BibTeX RDF |
|
38 | Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard |
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. |
ACL/IJCNLP (Findings) |
2021 |
DBLP DOI BibTeX RDF |
|
38 | Xin Tong, Lucy Xia, Jiacheng Wang, Yang Feng |
Neyman-Pearson classification: parametrics and sample size requirement. |
J. Mach. Learn. Res. |
2020 |
DBLP BibTeX RDF |
|
38 | Basarbatu Can, Huseyin Ozkan |
A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification. |
IEEE Access |
2020 |
DBLP DOI BibTeX RDF |
|
38 | Basarbatu Can, Huseyin Ozkan |
A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
38 | Wei Vivian Li, Xin Tong, Jingyi Jessica Li |
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
38 | Basarbatu Can, Mine Kerpicci, Huseyin Ozkan |
Online Kernel-Based Nonlinear Neyman-Pearson Classification. |
EUSIPCO |
2020 |
DBLP DOI BibTeX RDF |
|
38 | Basarbatu Can, Hüseyin Özkan |
Neyman-Pearson Classification Via Context Trees. |
SIU |
2020 |
DBLP DOI BibTeX RDF |
|
38 | Sumit Kumar 0002, Ayush Kumar, Rajib Kumar Jha |
A Novel Noise-Enhanced Back-Propagation Technique for Weak Signal Detection in Neyman-Pearson Framework. |
Neural Process. Lett. |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Neelaveni Rangaraj, Sridevi Balu |
A novel Neyman-Pearson criterion-based adaptive neuro-fuzzy inference system (NPC-ANFIS) model for security threats detection in cognitive radio networks. |
Soft Comput. |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Mohammad Ghasem Akbari, Gholamreza Hesamian |
Neyman-Pearson lemma based on intuitionistic fuzzy parameters. |
Soft Comput. |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Yuta Kawachi, Noboru Harada |
Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma. |
IEEE ACM Trans. Audio Speech Lang. Process. |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Paolo Toccaceli |
Conformal predictor combination using Neyman-Pearson Lemma. |
COPA |
2019 |
DBLP BibTeX RDF |
|
38 | Clayton Scott |
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation. |
ALT |
2019 |
DBLP BibTeX RDF |
|
38 | Xi Zhang 0005, Qixuan Zhu, H. Vincent Poor |
Neyman-Pearson Criterion Based Optimal Hierarchical Caching over D2D Wireless Ad-Hoc Networks. |
GLOBECOM |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Mohammad Fayazur Rahaman, Mohammed Zafar Ali Khan |
Low-Complexity Optimal Hard Decision Fusion Under the Neyman-Pearson Criterion. |
IEEE Signal Process. Lett. |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Shun Watanabe |
Neyman-Pearson Test for Zero-Rate Multiterminal Hypothesis Testing. |
IEEE Trans. Inf. Theory |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Yuta Kawachi, Noboru Harada |
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
38 | Clayton Scott |
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation. |
CoRR |
2018 |
DBLP BibTeX RDF |
|
38 | Lucy Xia, Richard Zhao, Yanhui Wu, Xin Tong |
Intentional Control of Type I Error over Unconscious Data Distortion: a Neyman-Pearson Approach to Text Classification. |
CoRR |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Fayazur Rahaman Mohammad, Mohammed Zafar Ali Khan |
On non-Randomized Hard Decision Fusion Under Neyman-Pearson Criterion Using LRT. |
VTC Fall |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Jwo-Yuh Wu, Ming-Hsun Yang, Tsang-Yi Wang |
A Neyman-Pearson Type Sensor Censoring Scheme for Compressive Distributed Sparse Signal Recovery. |
SAM |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Guangyang Zeng, Junfeng Wu 0001, Xiufang Shi, Zhiguo Shi 0001 |
A Novel Decision Fusion Scheme with Feedback in Neyman-Pearson Detection Systems. |
Allerton |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Fayazur Rahaman Mohammad Nikhil D, Mohammed Zafar Ali Khan |
Reduced complexity optimal hard decision fusion under Neyman-Pearson criterion. |
SIU |
2018 |
DBLP DOI BibTeX RDF |
|
38 | David de la Mata-Moya, María-Pilar Jarabo-Amores, Jaime Martin-de-Nicolas, Manuel Rosa-Zurera |
Approximating the Neyman-Pearson detector with 2C-SVMs. Application to radar detection. |
Signal Process. |
2017 |
DBLP DOI BibTeX RDF |
|
38 | Zuxing Li, Tobias J. Oechtering |
Privacy-Constrained Parallel Distributed Neyman-Pearson Test. |
IEEE Trans. Signal Inf. Process. over Networks |
2017 |
DBLP DOI BibTeX RDF |
|
38 | Muddassar Hussain, David J. Love, Nicolò Michelusi |
Neyman-Pearson Codebook Design for Beam Alignment in Millimeter-Wave Networks. |
mmNets@MobiCom |
2017 |
DBLP DOI BibTeX RDF |
|
38 | Shun Watanabe |
Neyman-Pearson test for zero-rate multiterminal hypothesis testing. |
ISIT |
2017 |
DBLP DOI BibTeX RDF |
|
38 | Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada |
Optimizing acoustic feature extractor for anomalous sound detection based on Neyman-Pearson lemma. |
EUSIPCO |
2017 |
DBLP DOI BibTeX RDF |
|
38 | Anqi Zhao, Yang Feng, Lie Wang, Xin Tong |
Neyman-Pearson Classification under High-Dimensional Settings. |
J. Mach. Learn. Res. |
2016 |
DBLP BibTeX RDF |
|
38 | Rahul Bhattacharya |
Characterizing Non-nesting for the Neyman-Pearson Family of Tests. |
J. Stat. Theory Appl. |
2016 |
DBLP DOI BibTeX RDF |
|
38 | Qiang Hu 0003, Xiaoyun Zhang, Zhiru Shi, Zhiyong Gao |
Neyman-Pearson-Based Early Mode Decision for HEVC Encoding. |
IEEE Trans. Multim. |
2016 |
DBLP DOI BibTeX RDF |
|
38 | Shun Watanabe |
Neyman-Pearson Test for Zero-Rate Multiterminal Hypothesis Testing. |
CoRR |
2016 |
DBLP BibTeX RDF |
|
38 | Ying-Gui Wang, Zheng Liu 0012, Le Yang 0001, Wen-Li Jiang |
Generalized compressive detection of stochastic signals using Neyman-Pearson theorem. |
Signal Image Video Process. |
2015 |
DBLP DOI BibTeX RDF |
|
38 | Haitao Lv, Chao Yin, Zongmin Cui, Qin Zhan, Hongbo Zhou 0008 |
Risk assessment of security systems based on entropy theory and the Neyman-Pearson criterion. |
Reliab. Eng. Syst. Saf. |
2015 |
DBLP DOI BibTeX RDF |
|
38 | Gregory Ditzler, Robi Polikar, Gail Rosen |
A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance. |
IEEE Trans. Neural Networks Learn. Syst. |
2015 |
DBLP DOI BibTeX RDF |
|
38 | Guanhua Yan |
Be Sensitive to Your Errors: Chaining Neyman-Pearson Criteria for Automated Malware Classification. |
AsiaCCS |
2015 |
DBLP DOI BibTeX RDF |
|
38 | Nerea del-Rey-Maestre, David de la Mata-Moya, Pilar Jarabo Amores, Jaime Martin-de-Nicolas, Pedro Gomez-del-Hoyo |
MLP-based approximation to the Neyman Pearson detector in a terrestrial passive bistatic radar scenario. |
EUROCON |
2015 |
DBLP DOI BibTeX RDF |
|
38 | Shang Li 0002, Xiaodong Wang 0001 |
Joint composite detection and Bayesian estimation: A Neyman-Pearson approach. |
GlobalSIP |
2015 |
DBLP DOI BibTeX RDF |
|
38 | Suat Bayram, San Gultekin, Sinan Gezici |
Noise enhanced hypothesis-testing according to restricted Neyman-Pearson criterion. |
Digit. Signal Process. |
2014 |
DBLP DOI BibTeX RDF |
|
38 | Gregory Ditzler, Matthew Austen, Gail L. Rosen, Robi Polikar |
Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. |
CIDM |
2014 |
DBLP DOI BibTeX RDF |
|
38 | Ahmed M. Alaa, Omar A. Nasr |
A globally optimal Neyman-Pearson test for hard decisions fusion in cooperative spectrum sensing. |
ICNC |
2014 |
DBLP DOI BibTeX RDF |
|
38 | Zuxing Li, Tobias J. Oechtering, Joakim Jaldén |
Parallel distributed Neyman-Pearson detection with privacy constraints. |
ICC Workshops |
2014 |
DBLP DOI BibTeX RDF |
|
38 | Taufique Z. Redhwan, Muneera Chowdhury, Hafiz Abdur Rahman |
A Neyman-Pearson approach to the development of low cost earthquake detection and damage mitigation system using sensor fusion. |
ICECS |
2014 |
DBLP DOI BibTeX RDF |
|
38 | Sayandeep Acharya, Ji Wang, Moshe Kam |
Distributed decision fusion using the Neyman-Pearson criterion. |
FUSION |
2014 |
DBLP BibTeX RDF |
|
38 | Xin Tong |
A plug-in approach to neyman-pearson classification. |
J. Mach. Learn. Res. |
2013 |
DBLP BibTeX RDF |
|
38 | I. Johnsi Stella, S. Radha |
Optimal design of wireless sensor network for ionising radiation detection using Neyman-Pearson criteria. |
Int. J. Parallel Emergent Distributed Syst. |
2013 |
DBLP DOI BibTeX RDF |
|
38 | Abdolreza Mohammadi 0001, Mohammad Reza Taban, Jamshid Abouei, Hamzeh Torabi |
Cooperative spectrum sensing against noise uncertainty using Neyman-Pearson lemma on fuzzy hypothesis test. |
Appl. Soft Comput. |
2013 |
DBLP DOI BibTeX RDF |
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