Results 121 to 130 of about 226 (170)

Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator. [PDF]

Bayesian Anal
Metodiev M, Perrot-Dockès M, Ouadah S, Irons NJ, Latouche P, Raftery AE.   +5 more
europepmc   +1 more source

Decoding skin cancer classification: perspectives, insights, and advances through researchers' lens. [PDF]

Sci Rep
Ray A, Sarkar S, Schwenker F, Sarkar R.
europepmc   +1 more source

Bayesian Bridge Regression. [PDF]

J Appl Stat, 2018
Mallick H, Yi N.
europepmc   +1 more source

An Approach to Share Self-Taught Knowledge between Home IoT Devices at the Edge. [PDF]

Sensors (Basel), 2019
Jang I, Lee D, Choi J, Son Y.
europepmc   +1 more source

Lycium barbarum polysaccharides promotes in vivo proliferation of adult rat retinal progenitor cells.

Neural Regen Res, 2015
Wang H, Lau BW, Wang NL, Wang SY, Lu QJ, Chang RC, So KF.   +6 more
europepmc   +1 more source

Front-to-Side Hard and Soft Biometrics for Augmented Zero-Shot Side Face Recognition. [PDF]

Sensors (Basel)
Alsubhi AH, Jaha ES.
europepmc   +1 more source

A novel multi-module neural networks strategy of human emotion recognition in the human-robot interaction. [PDF]

Sci Rep
Zaman K, Islam AU, Zengkang G, Bilal M, Alharbi A, Shah SM, Asghar S, Wang H.   +7 more
europepmc   +1 more source

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Identification system from motion pictures: LBPH application

2017 International Conference on Computer Science and Engineering (UBMK), 2017
Nowadays, identification systems are getting more and more attention due to terrorist attacks seen all over the world. Recognition of the unauthorized person has quite importance to secure critical areas. It is vital to know biometric data to recognize a person. Today face recognition systems has three steps: First, capture the face from image.
Tosun, Olcay, Haşıloğlu, Abdulsamet
exaly   +3 more sources

LBPH based improved face recognition at low resolution

2018 International Conference on Artificial Intelligence and Big Data (ICAIBD), 2018
Automatic individual face recognition is the most challenging query from the past decade in computer vision. However, the law enforcement agencies are inadequate to identify and recognize any person through the video monitoring cameras further efficiently; the blur conditions, illumination, resolution, and lighting are still the major problems in face ...
Awais Ahmed
exaly   +2 more sources

LBPH Algorithm for Frontal and Side Profile Face Recognition on GPU

2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), 2020
Face recognition is a method which identifies a person based on the profile or features of the face of that person. LBPH (Local Binary Patterns Histogram) is a method to detect and recognize the face of a person. In LBP, first, some portion of an image which is in grayscale is taken as 3×3 window size and the pixel value of neighborhood is compared ...
Akshata Uday Naik, Nitesh Guinde
exaly   +2 more sources