Search results for "Neyman-Pearson"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
38	María-Pilar Jarabo-Amores, David de la Mata-Moya, Roberto Gil-Pita, Manuel Rosa-Zurera	Radar detection with the Neyman-Pearson criterion using supervised-learning-machines trained with the cross-entropy error.	EURASIP J. Adv. Signal Process.	2013	DBLP DOI BibTeX RDF
38	Pierre Moulin	Asymptotic Neyman-Pearson games for converse to the channel coding theorem.	ISIT	2013	DBLP DOI BibTeX RDF
38	Esma Turgut, Sinan Gezici	Spectrum sensing via restricted Neyman-Pearson approach in the presence of non-Gaussian noise.	EUROCON	2013	DBLP DOI BibTeX RDF
38	Lori A. Dalton	Optimal neyman-pearson classification under Bayesian uncertainty models.	GENSiPS	2013	DBLP DOI BibTeX RDF
38	Federico Penna, Roberto Garello	Decentralized Neyman-Pearson Test with Belief Propagation for Peer-to-Peer Collaborative Spectrum Sensing.	IEEE Trans. Wirel. Commun.	2012	DBLP DOI BibTeX RDF
38	Steven Kay	A New Proof of the Neyman-Pearson Theorem Using the EEF and the Vindication of Sir R. Fisher.	IEEE Signal Process. Lett.	2012	DBLP DOI BibTeX RDF
38	Suat Bayram, Sinan Gezici	Stochastic resonance in binary composite hypothesis-testing problems in the Neyman-Pearson framework.	Digit. Signal Process.	2012	DBLP DOI BibTeX RDF
38	Sayed Jalal Zahabi, AliAkbar Tadaion, Sonia Aïssa	Neyman-Pearson Cooperative Spectrum Sensing for Cognitive Radio Networks with Fine Quantization at Local Sensors.	IEEE Trans. Commun.	2012	DBLP DOI BibTeX RDF
38	Berkan Dulek, Sinan Gezici	Optimal stochastic signal design and detector randomization in the neyman-pearson framework.	ICASSP	2012	DBLP DOI BibTeX RDF
38	Suat Bayram, San Gultekin, Sinan Gezici	Noise enhanced detection in restricted Neyman-Pearson framework.	SPAWC	2012	DBLP DOI BibTeX RDF
38	Czeslaw Stepniak	Neyman-Pearson Lemma.	International Encyclopedia of Statistical Science	2011	DBLP DOI BibTeX RDF
38	Philippe Rigollet, Xin Tong	Neyman-Pearson classification under a strict constraint.	COLT	2011	DBLP BibTeX RDF
38	Philippe Rigollet, Xin Tong	Neyman-Pearson Classification, Convexity and Stochastic Constraints.	J. Mach. Learn. Res.	2011	DBLP BibTeX RDF
38	Gilles Gasso, Aristidis Pappaioannou, Marina Spivak, Léon Bottou	Batch and online learning algorithms for nonconvex neyman-pearson classification.	ACM Trans. Intell. Syst. Technol.	2011	DBLP DOI BibTeX RDF
38	Walid Hachem, Eric Moulines, François Roueff	Error Exponents for Neyman-Pearson Detection of a Continuous-Time Gaussian Markov Process From Regular or Irregular Samples.	IEEE Trans. Inf. Theory	2011	DBLP DOI BibTeX RDF
38	Joffrey Villard, Pascal Bianchi	High-Rate Vector Quantization for the Neyman-Pearson Detection of Correlated Processes.	IEEE Trans. Inf. Theory	2011	DBLP DOI BibTeX RDF
38	Philippe Rigollet, Xin Tong	Neyman-Pearson classification, convexity and stochastic constraints	CoRR	2011	DBLP BibTeX RDF
38	Suat Bayram, Sinan Gezici	On the Restricted Neyman-Pearson Approach for Composite Hypothesis-Testing in Presence of Prior Distribution Uncertainty.	IEEE Trans. Signal Process.	2011	DBLP DOI BibTeX RDF
38	Jorge Plata-Chaves, Marcelino Lázaro	Closed-Form Error Exponent for the Neyman-Pearson Fusion of Dependent Local Decisions in a One-Dimensional Sensor Network.	IEEE Trans. Signal Process.	2011	DBLP DOI BibTeX RDF
38	Qian He 0002, Rick S. Blum	Diversity Gain for MIMO Neyman-Pearson Signal Detection.	IEEE Trans. Signal Process.	2011	DBLP DOI BibTeX RDF
38	Qian He 0002, Rick S. Blum	MIMO radar diversity with Neyman-Pearson signal detection in non-Gaussian circumstance with non-orthogonal waveforms.	ICASSP	2011	DBLP DOI BibTeX RDF
38	Sayed Jalal Zahabi, AliAkbar Tadaion, Sonia Aïssa	Upper bounds for Neyman-Pearson cooperative spectrum sensing.	ISCC	2011	DBLP DOI BibTeX RDF
38	Yung-Liang Lai, Jehn-Ruey Jiang	Optimal Multipath Planning for Neyman-Pearson Detection in Wireless Sensor Networks.	ICPP Workshops	2011	DBLP DOI BibTeX RDF
38	Jorge Plata-Chaves, Marcelino Lázaro, Antonio Artés-Rodríguez	Optimal Neyman-Pearson fusion in two-dimensional sensor networks with serial architecture and dependent observations.	FUSION	2011	DBLP BibTeX RDF
38	Alan P. Schaum	CFAR fusion: A replacement for the generalized likelihood ratio test for Neyman-Pearson problems.	AIPR	2011	DBLP DOI BibTeX RDF
38	Yang Yang 0011, Rick S. Blum, Brian M. Sadler	A distributed and energy-efficient framework for Neyman-Pearson detection of fluctuating signals in large-scale sensor networks.	IEEE J. Sel. Areas Commun.	2010	DBLP DOI BibTeX RDF
38	Murat Samil Aslan, Afsar Saranli, Buyurman Baykal	Tracker-aware adaptive detection: An efficient closed-form solution for the Neyman-Pearson case.	Digit. Signal Process.	2010	DBLP DOI BibTeX RDF
38	Joffrey Villard, Pascal Bianchi	High-Rate Vector Quantization for the Neyman-Pearson Detection of Correlated Processes.	CoRR	2010	DBLP BibTeX RDF
38	Pascal Bianchi, Jérémie Jakubowicz, François Roueff	Neyman-Pearson Detection of a Gaussian Source using Dumb Wireless Sensors	CoRR	2010	DBLP BibTeX RDF
38	Joffrey Villard, Pascal Bianchi, Eric Moulines, Pablo Piantanida	High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes	CoRR	2010	DBLP BibTeX RDF
38	Selcem Artan, Yusuf Artan	Ordering based energy efficient Neyman-Pearson classification in sensor networks.	ICASSP	2010	DBLP DOI BibTeX RDF
38	Joffrey Villard, Pascal Bianchi	High-rate vector quantization for the Neyman-Pearson detection of some stationary mixing processes.	ISIT	2010	DBLP DOI BibTeX RDF
38	Jorge Plata-Chaves, Marcelino Lázaro	Closed-form error exponent for the Neyman-Pearson fusion of two-dimensional Markov local decisions.	EUSIPCO	2010	DBLP BibTeX RDF
38	Pierre Moulin	A Neyman-Pearson approach to universal erasure and list decoding.	IEEE Trans. Inf. Theory	2009	DBLP DOI BibTeX RDF
38	Walid Hachem, Eric Moulines, François Roueff	Error exponents for Neyman-Pearson detection of a continuous-time Gaussian Markov process from noisy irregular samples	CoRR	2009	DBLP BibTeX RDF
38	María-Pilar Jarabo-Amores, Manuel Rosa-Zurera, Roberto Gil-Pita, Francisco López-Ferreras	Study of two error functions to approximate the Neyman-pearson detector using supervised learning machines.	IEEE Trans. Signal Process.	2009	DBLP DOI BibTeX RDF
38	Ashok Patel, Bart Kosko	Optimal noise benefits in Neyman-Pearson and inequality-constrained statistical signal detection.	IEEE Trans. Signal Process.	2009	DBLP DOI BibTeX RDF
38	Joshua B. Broadwater, Amit Banerjee	A Neyman-Pearson Approach to Estimating the Number of Endmembers.	IGARSS (4)	2009	DBLP DOI BibTeX RDF
38	Georgy L. Shevlyakov, Kyungmin Lee, Vladimir Shin, Kiseon Kim	Robust minimum distance Neyman-Pearson detection of a weak signal in non-Gaussian noise.	EUSIPCO	2009	DBLP BibTeX RDF
38	Thomas Bartz-Beielstein	How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing.	Synth.	2008	DBLP DOI BibTeX RDF
38	Pierre Moulin	A Neyman-Pearson Approach to Universal Erasure and List Decoding	CoRR	2008	DBLP BibTeX RDF
38	Pierre Moulin	A Neyman-Pearson approach to universal erasure and list decoding.	ISIT	2008	DBLP DOI BibTeX RDF
38	Jie Liu, Qingdong Du	A Multi-Sensor Fusion Method Applied to Stability Diagnosis Based on Distributed Neyman-Pearson Algorithm.	IIH-MSP	2007	DBLP DOI BibTeX RDF
38	Ming Xiang	Some new results on distributed Neyman-Pearson detection with correlated sensor observations.	FUSION	2007	DBLP DOI BibTeX RDF
38	Abhijeet Sangwan, Wei-Ping Zhu 0001, M. Omair Ahmad	On the Competitive Neyman-Pearson Approach for Composite Hypothesis Testing and its Application in Voice Activity Detection.	ICASSP (3)	2006	DBLP DOI BibTeX RDF
38	Ming Xiang	Optimization of Distributed Detection Systems under Neyman-Pearson Criterion.	FUSION	2006	DBLP DOI BibTeX RDF
38	Youngchul Sung, Lang Tong, H. Vincent Poor	Neyman-Pearson Detection of Gauss-Markov Signals in Noise: Closed-Form Error Exponent and Properties	CoRR	2005	DBLP BibTeX RDF
38	Youngchul Sung, Lang Tong, H. Vincent Poor	Neyman-Pearson detection of Gauss-Markov signals in noise: closed-form error exponent and properties.	ISIT	2005	DBLP DOI BibTeX RDF
38	Pilar Jarabo Amores, Roberto Gil-Pita, Manuel Rosa-Zurera, Francisco López-Ferreras	Sensitivity of neural networks which approximate the Neyman-Pearson detector to threshold variations.	EUSIPCO	2005	DBLP BibTeX RDF
38	Charuhas Pandit, Sean P. Meyn, Venugopal V. Veeravalli	Asymptotic robust Neyman-Pearson hypothesis testing based on moment classes.	ISIT	2004	DBLP DOI BibTeX RDF
38	Pilar Jarabo Amores, Roberto Gil-Pita, Manuel Rosa-Zurera, Francisco López-Ferreras	On the Capability of Neural Networks to Approximate the Neyman-Pearson Detector: A Theoretical Study.	ANNs	2004	DBLP BibTeX RDF
38	Seungjoon Yang, Youngho Lee, Pilho Yu	Neyman-Pearson test for DC restoration error correction.	IEEE Trans. Consumer Electron.	2003	DBLP DOI BibTeX RDF
38	David P. Casasent, Xue-wen Chen 0001	Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification.	Neural Networks	2003	DBLP DOI BibTeX RDF
38	Evgeny Levitan, Neri Merhav	A competitive Neyman-Pearson approach to universal hypothesis testing with applications.	IEEE Trans. Inf. Theory	2002	DBLP DOI BibTeX RDF
38	Ming Xiang, Junwei Zhao	On the performance of distributed Neyman-Pearson detection systems.	IEEE Trans. Syst. Man Cybern. Part A	2001	DBLP DOI BibTeX RDF
38	Qing Yan, Rick S. Blum	Distributed signal detection under the Neyman-Pearson criterion.	IEEE Trans. Inf. Theory	2001	DBLP DOI BibTeX RDF
38	Robert S. Caprari	Generalized matched filters and univariate Neyman-Pearson detectors for image target detection.	IEEE Trans. Inf. Theory	2000	DBLP DOI BibTeX RDF
38	Ernesto Conte, Antonio De Maio, Carmela Galdi	Signal detection in compound-Gaussian noise: Neyman-Pearson and CFAR detectors.	IEEE Trans. Signal Process.	2000	DBLP DOI BibTeX RDF
38	Thomas Augustin	Globally Least Favorable Pairs and Neyman-Pearson Testing under Interval Probability.	ISIPTA	1999	DBLP BibTeX RDF
38	Ernesto Conte, Antonio De Maio, Carmela Galdi	Signal detection in compound-Gaussian noise: Neyman-Pearson versus GLRT.	ISSPA	1999	DBLP DOI BibTeX RDF
38	Yong In Han, Taejon Kim	Randomized fusion rules can be optimal in distributed Neyman-Pearson detectors.	IEEE Trans. Inf. Theory	1997	DBLP DOI BibTeX RDF
38	M. H. Elayadi, Ashraf Mamdouh, A. E. Basiony	An algorithm for global optimization of distributed multiple-sensor detection systems using Neyman-Pearson strategy.	Signal Process.	1996	DBLP DOI BibTeX RDF
38	Po-Ning Chen	General formulas for the Neyman-Pearson type-II error exponent subject to fixed and exponential type-I error bounds.	IEEE Trans. Inf. Theory	1996	DBLP DOI BibTeX RDF
38	Rick S. Blum	Necessary conditions for optimum distributed sensor detectors under the Neyman-Pearson criterion.	IEEE Trans. Inf. Theory	1996	DBLP DOI BibTeX RDF
38	Diego Andina, José L. Sanz-González	Comparison of a neural network detector vs Neyman-Pearson optimal detector.	ICASSP	1996	DBLP DOI BibTeX RDF
38	Po-Ning Chen, Adrian Papamarcou	Error bounds for parallel distributed detection under the Neyman-Pearson criterion.	IEEE Trans. Inf. Theory	1995	DBLP DOI BibTeX RDF
38	Dimitris A. Pados, P. Papantoni-Kazakos, Demetrios Kazakos, Achilles G. Koyiantis	On-Line Threshold Learning for Neyman-Pearson Distributed Detection.	IEEE Trans. Syst. Man Cybern. Syst.	1994	DBLP DOI BibTeX RDF
38	Jae Cheol Son, Iickho Song, Sun Yong Kim, Seong Ill Park	An application of the generalized Neyman-Pearson fuzzy test to stochastic-signal detection.	IEEE Trans. Syst. Man Cybern.	1993	DBLP DOI BibTeX RDF
38	Roy L. Streit	A neural network for optimum Neyman-Pearson classification.	IJCNN	1990	DBLP DOI BibTeX RDF
26	Animashree Anandkumar, Lang Tong, Ananthram Swami	Detection of Gauss-Markov Random Fields With Nearest-Neighbor Dependency.	IEEE Trans. Inf. Theory	2009	DBLP DOI BibTeX RDF
26	Hao Chen 0001, Biao Chen 0001, Pramod K. Varshney	Further Results on the Optimality of the Likelihood-Ratio Test for Local Sensor Decision Rules in the Presence of Nonideal Channels.	IEEE Trans. Inf. Theory	2009	DBLP DOI BibTeX RDF
26	Jun Ma 0007, Guodong Zhao 0001, Geoffrey Ye Li	Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks.	IEEE Trans. Wirel. Commun.	2008	DBLP DOI BibTeX RDF
26	Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win	Data Fusion Trees for Detection: Does Architecture Matter?	IEEE Trans. Inf. Theory	2008	DBLP DOI BibTeX RDF
26	Neri Merhav, Erez Sabbag	Optimal Watermark Embedding and Detection Strategies Under Limited Detection Resources.	IEEE Trans. Inf. Theory	2008	DBLP DOI BibTeX RDF
26	Thomas C. W. Landgrebe, Robert P. W. Duin	Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	T.C.W. Landgrebe and R.P.W. Duin are in the Information and Communication Theory Group, Delft University of Technology Mekelweg 4, 2628 CD Delft, The Netherlands
26	Saswat Misra, Lang Tong	Error Exponents for the Detection of Gauss-Markov Signals Using Randomly Spaced Sensors.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
26	Animashree Anandkumar, Lang Tong, Ananthram Swami	Optimal Node Density for Detection in Energy-Constrained Random Networks.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
26	Benedito J. B. Fonseca Jr., John A. Gubner	On the Use of Mutual Information to Compare the Performance of Wireless Sensor Networks in Detection Applications.	IPSN	2008	DBLP DOI BibTeX RDF	binary hypothesis decision theory, comparison of experiments, wireless sensor networks, mutual information, detection
26	Zhongding Lei, Francois P. S. Chin	OFDM signal sensing for cognitive radios.	PIMRC	2008	DBLP DOI BibTeX RDF
26	Dong Chen, Jiandong Li 0001, Jing Ma	Spectrum sensing based on linear self-signal elimination for opportunistic spectrum access.	PIMRC	2008	DBLP DOI BibTeX RDF
26	Chien-Hwa Hwang, Shih-Chang Chen	Primary User Signal Detection in OFDM Based Cognitive Radios.	ICC	2008	DBLP DOI BibTeX RDF
26	Youngchul Sung, H. Vincent Poor, Heejung Yu	Large deviations analysis for the detection of 2D hidden Gauss-Markov random fields using sensor networks.	ICASSP	2008	DBLP DOI BibTeX RDF
26	Rajet Krishnan, Balasubramaniam Natarajan, Steve Warren	Analysis and detection of motion artifact in photoplethysmographic data using higher order statistics.	ICASSP	2008	DBLP DOI BibTeX RDF
26	N. E. Venkatesan, Tarun Agarwal, P. Vijay Kumar	On the Average Case Communication Complexity for Detection in Sensor Networks.	DCOSS	2008	DBLP DOI BibTeX RDF
26	Nelson Chávez, Angel L. González	Radar Recognition through Statistical Classification of Cellular Emission in the Moment Space.	CIARP	2008	DBLP DOI BibTeX RDF	classification vector, moment space, distributed targets, Target recognition, searching region
26	Alberto López Toledo, Xiaodong Wang 0001	Robust Detection of Selfish Misbehavior in Wireless Networks.	IEEE J. Sel. Areas Commun.	2007	DBLP DOI BibTeX RDF
26	Neri Merhav, Meir Feder	Minimax Universal Decoding With an Erasure Option.	IEEE Trans. Inf. Theory	2007	DBLP DOI BibTeX RDF
26	Wei Liu 0025, Lina Dong, Wenjun Zeng	Optimum Detection for Spread-Spectrum Watermarking That Employs Self-Masking.	IEEE Trans. Inf. Forensics Secur.	2007	DBLP DOI BibTeX RDF
26	Giulia Boato, Francesco G. B. De Natale, Claudio Fontanari, Fernando Pérez-González	Statistical Analysis of a Linear Algebra Asymmetricwatermarking Scheme.	ICIP (5)	2007	DBLP DOI BibTeX RDF
26	Khalil Zebbiche, Fouad Khelifi, Ahmed Bouridane	Optimum Detection of Multiplicative-Multibit Watermarking for Fingerprint Images.	ICB	2007	DBLP DOI BibTeX RDF	Fingerprint images, multibit watermarking, multiplicative rule, maximum-likelihood
26	Raul Vicen-Bueno, Maria P. Jarabo-Amores, David de la Mata-Moya, Manuel Rosa-Zurera, Roberto Gil-Pita	Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size.	IWANN	2007	DBLP DOI BibTeX RDF
26	Chatschik Bisdikian	On Sensor Sampling and Quality of Information: A Starting Point.	PerCom Workshops	2007	DBLP DOI BibTeX RDF
26	Alexandra Czarlinska, Deepa Kundur	Attack vs. failure detection in event-driven wireless visual sensor networks.	MM&Sec	2007	DBLP DOI BibTeX RDF	wireless visual sensor networks, error detection, attack, event-driven
26	Raul Vicen-Bueno, Maria P. Jarabo-Amores, Manuel Rosa-Zurera, Roberto Gil-Pita, David de la Mata-Moya	Performance Analysis of MLP-Based Radar Detectors in Weibull-Distributed Clutter with Respect to Target Doppler Frequency.	ICANN (2)	2007	DBLP DOI BibTeX RDF
26	Hanno Coetzer, Robert Sabourin	A Human-Centric Off-Line Signature Verification System.	ICDAR	2007	DBLP DOI BibTeX RDF
26	Xuanwen Luo, Ming Dong 0001, Yinlun Huang	On Distributed Fault-Tolerant Detection in Wireless Sensor Networks.	IEEE Trans. Computers	2006	DBLP DOI BibTeX RDF	Distributed event detection, wireless sensor networks, fault tolerance, energy-efficiency, sensor fusion
26	Seong Soo Kim, A. L. Narasimha Reddy	Image-Based Anomaly Detection Technique: Algorithm, Implementation and Effectiveness.	IEEE J. Sel. Areas Commun.	2006	DBLP DOI BibTeX RDF
26	Eran Fishler, Alexander M. Haimovich, Rick S. Blum, Leonard J. Cimini Jr., Dmitry Chizhik, Reinaldo A. Valenzuela	Spatial diversity in radars-models and detection performance.	IEEE Trans. Signal Process.	2006	DBLP DOI BibTeX RDF
26	Ivan V. Bajic	Detection-theoretic analysis of MatInspector.	IEEE Trans. Signal Process.	2006	DBLP DOI BibTeX RDF
26	Marco Chiani, Maria G. Martini	On sequential frame synchronization in AWGN channels.	IEEE Trans. Commun.	2006	DBLP DOI BibTeX RDF