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High confidence visual recognition of persons by a test of statistical independence
1993
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Abstruct-A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence. ...
Morphogenetic randomness in the texture expressed phenotypically in the iris trabecular meshwork ensures that a test of statistical independence on two coded patterns originating from different eyes is ...
This extreme example illustrates the robustness against occlusion and noise that can be achieved by converting a pattern recognition problem into a test of statistical independence with a sufficiently ...
doi:10.1109/34.244676
fatcat:bijqzqqyuzgp3izfamtvkkgpyu
Multi-stream Confidence Analysis for Audio-Visual Affect Recognition
[chapter]
2005
Lecture Notes in Computer Science
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Person-independent experimental results from 20 subjects in 660 sequences suggest that the use of stream exponents estimated on training data results in classification accuracy improvement of audio-visual ...
We investigate the use of individual modality confidence measures as a means of estimating weights when combining likelihoods in the audio-visual decision fusion. ...
Lawrence Chen for collecting the valuable data in this paper for audio-visual affect recognition. ...
doi:10.1007/11573548_123
fatcat:se3zhvwbqrcbbega2qhudnk55q
SVD-Structural Similarity in the Wavelet-Gabor Domain: Improved Confidence for Face Recognition under Noise, Blur and Haze
2019
Journal of Computer Science
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Two confidence measures, different in strength of confidence, have been proposed and tested versus a recently-proposed confidence measure that relies on the difference between the maximal similarity (best ...
In these tests, a reference image is tested for similarity against several face images in a database under adverse conditions like noise, blur and haze. ...
Acknowledgement The Authors would like to thank the Ministry of Higher Education and Scientific Research (in Iraq) for funding this project via a scholarship for Ms. Ohood Ismael. ...
doi:10.3844/jcssp.2019.1209.1224
fatcat:23xoqlkq7rboxgvzf7yh2hk3cu
Effectiveness of Cognitive-Behavioral Group Therapy on Self-Concept of Visually Impaired Adolescents
2016
Iranian Rehabilitation Journal
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Kolmogorov-Smirnov test, t-test for independent groups, Lewin test, and co-variance test). ...
The post-test data analysis was performed by conducting SPSS using descriptive statistics methods (mean and standard deviation for the study variables and tables) and inferential statistics methods (including ...
Visual disability makes a person dependent on others. ...
doi:10.15412/j.irj.08140108
fatcat:2izwnr62ibchrdp566ad7f22oa
Using an Augmented Reality Device as a Distance-based Vision Aid—Promise and Limitations
2018
Optometry and Vision Science
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In both studies, performance was tested on a range of visual tasks (identifying the location, pose and gesture of a person, identifying objects, and moving around in an unfamiliar space). ...
RESULTS: In the main study, the AR application was associated with substantially improved accuracy and confidence in object recognition (all P < .001) and to a lesser degree in gesture recognition (P < ...
This is reflected by the fact that baseline accuracy and confidence are overall high for pose recognition and relatively low for object and gesture recognition. ...
doi:10.1097/opx.0000000000001232
pmid:29877901
pmcid:PMC6133229
fatcat:dbiarn24d5arfajx5fyvzbobra
Viewing one's body during encoding boosts episodic memory
[article]
2018
bioRxiv
pre-print
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Episodic autobiographical memories (EAMs) are recollections of contextually rich and personally relevant past events. ...
We report that the present VR setup permits to measure recognition memory for complex and embodied 3D scenes during encoding and retrieval, that recognition memory depends on delay and number of changed ...
Second, participants were asked how confident they were about their answer (via a rating scale projected in the HDM; range from 0 (low) to 9 (high confidence)). ...
doi:10.1101/318956
fatcat:wytwzuktynaz3bu6x6ykdvr5pe
C-BET evaluation of voice biometrics
2011
Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII
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C-BET is the Comprehensive Biometrics Evaluation Toolkit developed by CBSA in order to analyze the suitability of biometric systems for fully-automated border/access control applications. ...
Following the multiorder score analysis and the threshold-validated analysis defined within the C-BET framework, the paper presents the results of the C-BET evaluation of a commercial voice biometric product ...
Acknowledgement The scores of voice biometric comparisons for this study have been provided to CBSA by IBG under CBSA-led project PSTP08-0110BIO "Biometric Border Security Evaluation Framework" funded ...
doi:10.1117/12.883533
fatcat:izra5b2kefac5kh6nikg7zte5i
Electrocortical indices of subjectively perceived confidence in episodic memory
2020
International Journal of Psychophysiology
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Participants encoded a set of abstract pictures, and subsequently rated their confidence on recognition decisions. ...
However, the extent these brain signals reflect a generic process and are independent of the type of information recognized remains an open question. ...
The largest cluster-level statistic is the observed clusterbased test statistic, which was used to evaluate the effect of confidence. ...
doi:10.1016/j.ijpsycho.2020.02.007
pmid:32057779
fatcat:eapuozqqqvbjpg2acoqxvggaqy
Metacognitive influences on study time allocation in an associative recognition task: An analysis of adult age differences
2009
Psychology and Aging
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The authors examined judgments of learning (JOLs), recognition test confidence judgments (CJs), and subjective response time (RT) judgments by younger and older adults in an associative recognition task ...
The current study evaluated a metacognitive account of study time allocation, which argues that metacognitive monitoring of recognition test accuracy and latency influences subsequent strategic control ...
An increase of 1% in a person's mean JOLs was associated with a 0.5% increase in test confidence, independent of any effect of actual recognition accuracy, though correct recognition responses were indeed ...
doi:10.1037/a0014417
pmid:19485662
pmcid:PMC2690717
fatcat:y3mac4zrfjcc5lbyavmx4ou7oy
Fusion of Audio- and Visual Cues for Real-Life Emotional Human Robot Interaction
[chapter]
2011
Lecture Notes in Computer Science
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In this paper, we present a study on multimodal recognition of emotions from such auditive and visual cues for interaction interfaces. ...
In order to achieve applicability in realistic HRI settings, we develop person-independent affective models. ...
The low rates delivered by the speech-based emotion analysis system -the first raw -could be because a person-independent classifier is used, which is trained on a speech-based emotion database that does ...
doi:10.1007/978-3-642-23123-0_35
fatcat:kc4kwmhdubglvkidd5n2l2i55i
Metacognitive Deficiency in a Perceptual but Not a Memory Task in Methadone Maintenance Patients
2017
Scientific Reports
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Post decision self judgements of probability of correct choice were obtained through trial by trial confidence ratings and were used to compute metacognitive ability. ...
We compared metacognitive self-monitoring ability of a group of SDIs during methadone maintenance treatment (n = 23) with a control group (n = 24) in a memory and a visual perceptual task. ...
Significance threshold (α) for all statistical tests was set to 0.05. The memory task included a learning and a recognition phase. ...
doi:10.1038/s41598-017-06707-w
pmid:28765624
pmcid:PMC5539220
fatcat:7vrk4x2kxbehhhmtvwihuzt5ci
Robust Biometric Person Identification Using Automatic Classifier Fusion of Speech, Mouth, and Face Experts
2007
IEEE transactions on multimedia
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With a view to exploiting the complementary nature of different modes of information and increasing pattern recognition robustness to test signal degradation, we developed a multiple expert biometric person ...
Information about person identity is multimodal. Yet, most person-recognition systems limit themselves to only a single modality, such as facial appearance. ...
More details of his research are available at http://www.ralphgross.com. Mr. Gross is a member of the IEEE Computer Society. ...
doi:10.1109/tmm.2007.893339
fatcat:vakfrz5xqnemnfpxzebiapihzi
A Project-based Approach to Examine University Teachers Attitudes towards Visually Impaired Students
2019
Scholarly Journal of Psychology and Behavioral Sciences
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the visually impaired in a regular classroom, and 3-the recognition of the visually impaired contribution to the enrichment of the classroom experience. ...
These factors seem to indicate that experience with teaching the visually impaired enhance teacher's confidence to teach the visually impaired and recognition of the visually impaired contribution. ...
They can be categorized as under 1-Teacher's confidence to teach the visually impaired, 2-Lesson impact due to the presence of the visually impaired in a regular classroom, and 3-the recognition of the ...
doi:10.32474/sjpbs.2019.02.000137
fatcat:jrcvszdwtnczhlzm3xze2r6svy
An Investigation into the Modality Specificity of L2 Learners' STM Abilities in Learning Vocabulary via PDAs
2012
International Journal of Applied Linguistics and English Literature
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Based on their scores on the English vocabulary recognition and recall (EVRR) tests and the statistical analysis of the results, it was revealed that delivery of learning materials with pictorial and written ...
annotations combined rather than delivery of learning materials without such annotations to learners with high-visual and high-verbal abilities, learners with high-visual but low-verbal ability, and learners ...
.= recognition score, & Ave.= average score As for the first group of learners (high visual + high verbal), the analysis shows a mean of 2.2 on recognition and 1.02 on recall test for no annotation materials ...
doi:10.7575/ijalel.v.1n.4p.86
fatcat:hnsazpffknf6hieuyiznepy4le
Multiple evidence combination in image retrieval
2000
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00
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The sources of evidence consist of input from face detection/recognition and text/HTML analysis modules. A degree of uncertainty is involved with both of these sources. ...
In particular, we examine linear and Dempster-Shafer methods of evidence combination in the context of identifying personal images on the World Wide Web. ...
Acknowledgments We would like to thank Matthew 'Ihrk (Microsoft), Alex Pentland (MIT), Takeo Kanade (CMU) and Henry A. Rowley(CMU) for making software available for this project. ...
doi:10.1145/345508.345553
dblp:conf/sigir/AslandoganY00
fatcat:p2l3s4h4xfhcpkam5zfsnhrbse
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