Results 201 to 210 of about 187,114 (259)

CardioVar: a machine learning framework for pathogenicity prediction of cardiomyopathy genetic variants. [PDF]

open access: yesBioinform Adv
Al-Mahrami N   +9 more
europepmc   +1 more source

Pediatric respiratory syncytial virus infections associated with hospital airborne viral genetic load detection. [PDF]

open access: yesInfect Control Hosp Epidemiol
Alfaro-Perez C   +3 more
europepmc   +1 more source

Correlation filters with controlled scale response

IEEE Transactions on Image Processing, 2006
Correlation filtering methods are becoming increasingly popular for image recognition and location. The recent introduction of optimal tradeoff circular harmonic function filters allowed the user to specify the response of a correlation filter to in-plane rotation distortion. In this paper we introduce a new correlation filter design that can provide a
Ryan Kerekes   +2 more
exaly   +3 more sources

Unconstrained correlation filters

Applied Optics, 1994
A mathematical analysis of the distortion tolerance in correlation filters is presented. A good measure for distortion performance is shown to be a generalization of the minimum average correlation energy criterion. To optimize the filter's performance, we remove the usual hard constraints on the outputs in the synthetic discriminant function ...
A, Mahalanobis   +4 more
openaire   +2 more sources

Kalman Filter for Spatial-Temporal Regularized Correlation Filters

IEEE Transactions on Image Processing, 2021
We consider visual tracking in numerous applications of computer vision and seek to achieve optimal tracking accuracy and robustness based on various evaluation criteria for applications in intelligent monitoring during disaster recovery activities.
Sheng Feng   +4 more
openaire   +2 more sources

Biometric verification with correlation filters

Applied Optics, 2004
Using biometrics for subject verification can significantly improve security over that of approaches based on passwords and personal identification numbers, both of which people tend to lose or forget. In biometric verification the system tries to match an input biometric (such as a fingerprint, face image, or iris image) to a stored biometric template.
B V K, Vijaya Kumar   +5 more
openaire   +2 more sources

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