Cyborg groups enhance face recognition in crowded environments
暂无分享,去创建一个
[1] M. Shadlen,et al. Choice Certainty Is Informed by Both Evidence and Decision Time , 2014, Neuron.
[2] Raúl Rojas,et al. Semi-autonomous Car Control Using Brain Computer Interfaces , 2012, IAS.
[3] Brendan Z. Allison,et al. The Hybrid BCI , 2010, Frontiers in Neuroscience.
[4] David J. Robertson,et al. Unfamiliar face recognition : Security, surveillance and smartphones , 2016 .
[5] IEEE conference on computer vision and pattern recognition , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[6] G. Pfurtscheller,et al. Optimal spatial filtering of single trial EEG during imagined hand movement. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[7] Narendra Ahuja,et al. Detecting Faces in Images: A Survey , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[8] José del R. Millán,et al. The role of shared-control in BCI-based telepresence , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.
[9] Stefan M. Herzog,et al. Boosting medical diagnostics by pooling independent judgments , 2016, Proceedings of the National Academy of Sciences.
[10] D. Helbing,et al. How social influence can undermine the wisdom of crowd effect , 2011, Proceedings of the National Academy of Sciences.
[11] T. Demiralp,et al. What if you are not sure? Electroencephalographic correlates of subjective confidence level about a decision , 2012, Clinical Neurophysiology.
[12] Caterina Cinel,et al. Cross-modal illusory conjunctions between vision and touch. , 2002, Journal of experimental psychology. Human perception and performance.
[13] Riccardo Poli,et al. Collaborative Brain-Computer Interface for Aiding Decision-Making , 2014, PloS one.
[14] G. Vanacker,et al. Adaptive Shared Control of a Brain-Actuated Simulated Wheelchair , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.
[15] Febo Cincotti,et al. Tools for Brain-Computer Interaction: A General Concept for a Hybrid BCI , 2011, Front. Neuroinform..
[16] Daniel J. Simons,et al. Inattentional blindness , 2007, Scholarpedia.
[17] Roger Ratcliff,et al. Modeling confidence judgments, response times, and multiple choices in decision making: recognition memory and motion discrimination. , 2013, Psychological review.
[18] Rob Jenkins,et al. Face Recognition by Metropolitan Police Super-Recognisers , 2016, PloS one.
[19] Yongkang Wong,et al. Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition , 2011, CVPR 2011 WORKSHOPS.
[20] Andres Laan,et al. Rescuing Collective Wisdom when the Average Group Opinion Is Wrong , 2017, Front. Robot. AI.
[21] Kait Clark,et al. Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity , 2016, Scientific Reports.
[22] J M Hoc,et al. From human – machine interaction to human – machine cooperation , 2000, Ergonomics.
[23] Miguel P Eckstein,et al. Visual search: a retrospective. , 2011, Journal of vision.
[24] David Dunning,et al. Overconfidence Among Beginners: Is a Little Learning a Dangerous Thing? , 2018, Journal of personality and social psychology.
[25] Bethany L. Ojalehto,et al. Systems of (non-)diversity , 2017, Nature Human Behaviour.
[26] Jacob Goldberger,et al. Distilling the wisdom of crowds: weighted aggregation of decisions on multiple issues , 2009, Autonomous Agents and Multi-Agent Systems.
[27] S. Luck,et al. Electrophysiological correlates of feature analysis during visual search. , 1994, Psychophysiology.
[28] Paul M Bays,et al. Temporal dynamics of encoding, storage, and reallocation of visual working memory. , 2011, Journal of vision.
[29] Pawan Sinha,et al. Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About , 2006, Proceedings of the IEEE.
[30] P. Latham,et al. Confidence matching in group decision-making , 2017, Nature Human Behaviour.
[31] Swami Sankaranarayanan,et al. Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms , 2018, Proceedings of the National Academy of Sciences.
[32] Craig K. Abbey,et al. Neural decoding of collective wisdom with multi-brain computing , 2012, NeuroImage.
[33] J. Baron,et al. The Power of Social Influence on Estimation Accuracy , 2015 .
[34] N. Kerr,et al. Group performance and decision making. , 2004, Annual review of psychology.
[35] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[36] Zhi-Hua Zhou,et al. Face recognition from a single image per person: A survey , 2006, Pattern Recognit..
[37] Riccardo Poli,et al. Enhancement of Group Perception via a Collaborative Brain–Computer Interface , 2017, IEEE Transactions on Biomedical Engineering.
[38] Nick Yeung,et al. Shared Neural Markers of Decision Confidence and Error Detection , 2015, The Journal of Neuroscience.
[39] Alexandre Pouget,et al. Confidence and certainty: distinct probabilistic quantities for different goals , 2016, Nature Neuroscience.
[40] V. Bruce,et al. Face Recognition in Poor-Quality Video: Evidence From Security Surveillance , 1999 .
[41] John A. Pyles,et al. Dynamic Encoding of Face Information in the Human Fusiform Gyrus , 2014, Nature Communications.
[42] Michael Vitale,et al. The Wisdom of Crowds , 2015, Cell.
[43] Dan Bang,et al. Making better decisions in groups , 2017, Royal Society Open Science.
[44] Azriel Rosenfeld,et al. Face recognition: A literature survey , 2003, CSUR.
[45] Lauren E. Welbourne,et al. Humans, but Not Deep Neural Networks, Often Miss Giant Targets in Scenes , 2017, Current Biology.
[46] Gavin Brown,et al. Individual Confidence-Weighting and Group Decision-Making. , 2017, Trends in ecology & evolution.
[47] Riccardo Poli,et al. Augmenting group performance in target-face recognition via collaborative brain-computer interfaces for surveillance applications , 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).
[48] R. Duncan Luce,et al. Response Times: Their Role in Inferring Elementary Mental Organization , 1986 .
[49] Bahador Bahrami,et al. Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds , 2017, Nature Human Behaviour.
[50] A. Burton,et al. Crowd Effects in Unfamiliar Face Matching , 2013 .
[51] Denis Fize,et al. Speed of processing in the human visual system , 1996, Nature.
[52] Leonard Branson,et al. WHEN TWO HEADS ARE WORSE THAN ONE: IMPACT OF GROUP STYLE AND INFORMATION TYPE ON PERFORMANCE EVALUATION , 2010 .
[53] Å. Austin,et al. A cross-scale trophic cascade from large predatory fish to algae in coastal ecosystems , 2017, Proceedings of the Royal Society B: Biological Sciences.
[54] A. Hunt,et al. Human visual search behaviour is far from ideal , 2017, Proceedings of the Royal Society B: Biological Sciences.
[55] Bahador Bahrami,et al. Post-decisional accounts of biases in confidence , 2016, Current Opinion in Behavioral Sciences.
[56] Riccardo Poli,et al. Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface , 2017, Scientific Reports.
[57] Rob Jenkins,et al. Face detection dissociates from face identification , 2017 .