1,721,140 research outputs found
POH-N probe structure.
No full text<p>Under normoxic conditions, POH-N is immediately degraded via VHL-mediated ODD, and the resultant POH-N fragments diffuse from the cells. In contrast, POH-N is more stable in HIF-1-active cells, thus creating a contrast between HIF-1-active and HIF-1-inactive cells.</p
Customizing biometric authentication systems via discriminative score calibration.
No full textThere is mounting evidence about the benefit of tailoring
a biometric authentication system to each user by postprocessing
the system output at the score level, also known
as client-specific score normalisation. Examples of these
procedures are Z-norm and F-norm. These procedures can
calibrate the uneven hypothesis space such that the dispropotionate
false acceptance and false rejection errors are
reduced after the calibration. The interest in studying these
schemes is that they are applicable to any biometric authentication
system regardless of the underlying biometric
modality, and furthermore, potentially be extended to object
recognition framed as a verification problem. We propose
to further improve these procedures by adding additional
client-specific terms that cannot be incorporated easily
in their respective existing form. Experiments carried out
on 13 face and speech systems show that both variants systematically
outperform their respective score normalisation
scheme (Z-norm or F-norm)
No clear visualization of HIF-1-active regions in the permanent brain ischemia model or with delayed injection of POH-N in the focal brain ischemia model.
No full text<p>(A) Representative <i>in vivo</i> fluorescence images visualized through a cranial window before and at 5 min, 1 h, and 6 h after POH-N administration are shown. POH-N was injected intravenously at 60 min after permanent MCA occlusion. (B) Representative <i>in vivo</i> fluorescence images visualized through a cranial window before and at 5 min, 1 h, and 6 h following POH-N administration at 24 h after reperfusion. Magnified head images are shown in the lower left panels.</p
A Bayesian Approach for Modeling Sensor Influence on Quality, Liveness and Match Score Values in Fingerprint Verification
No full textRecently a number of studies in fingerprint verification have combined match scores with quality and liveness measures in order to thwart spoof attacks. However, these approaches do not explicitly account for the influence of the sensor on these variables. In this work, we propose a graphical model that accounts for the impact of the sensor on match scores, quality and liveness measures. The proposed graphical model is implemented using a Gaussian Mixture Model based Bayesian classifier. Effectiveness of the proposed model has been assessed on the LivDet11 fingerprint database using Biometrika and Italdata sensor
Immunohistochemical detection of HIF-1-active cells and POH-N probe.
No full text<p>(A) Immunohistochemical analysis of HIF-1α, POH-N (ODD) and HaloTag (green), with or without DAPI nuclear staining (blue), at 1 day after probe administration. Panels at the bottom show magnified images. (B) Similar distributions of HIF-1α, HaloTag, and HSP70 in pyramidal neurons of the cortical layer bordering the infarct. Scale bars, 50 μm.</p
Biometric System Design Under Zero and Non-zero-effort Attacks
No full textAn increasing number of studies have reported that the quality of biometric samples has a significant impact on the performance of the system. However, to our best knowledge, these studies are limited to impersonation attempts from dif-ferent subjects, i.e., zero-effort attack, and they do not take into account the possibility of spoof attack, also called non-zero effort attack. In order to thwart the spoof attack, one way is to assess the likelihood of a spoof attempt by using bio-metric liveness measures. Since both biometric sample qual-ity and liveness measures are different, and possibly comple-mentary, we propose an information fusion framework that combines them under both zero- and non-zero effort (spoof) attacks. We implemented this framework using three gener
Toward an attack-sensitive tamper-resistant biometric recognition with a symmetric matcher: A fingerprint case study
No full text
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