Apr 21, 2016 · While chaotic pattern recognition is still a challenging task, in this paper, we propose a new ensemble approach-many-kernel random discriminant ...

While chaotic pattern recognition is still a challenging task, in this paper we propose a new ensemble approach – Many-Kernel Random Discriminant. Analysis (MK- ...

Abstract— With the rapid development of Internet-of-. Things (IoT), face scrambling has been proposed for priv- acy protection during IoT-targeted ...

FACE RECOGNITION IN THE SCRAMBLED DOMAIN VIA. SALIENCE AWARE ENSEMBLES OF MANY KERNELS. G. Ravi Kumar Reddy1 and J. Jyothi2. 1Assistant Professor, CVR College ...

While chaotic pattern recognition is still a challenging task, in this paper, we propose a new ensemble approach - many-kernel random discriminant analysis (MK- ...

While chaotic pattern recognition is still a challenging task, in this paper we propose a new ensemble approach – Many-Kernel Random Discriminant Analysis (MK- ...

Facial look identity is a vital mission by means of human-interacting structures that goal to be aware of versions within the human's emotional state. the ...

Emre Celebi, “Face Recognition in the Scrambled domain via Salience Aware Ensembles of. Many Kernels,'' IEEE Trans. Information Forensics And. Security. Vol ...

Survey on Face Recognition in the Scrambled Dataset by Using Many Kernels ... Face Recognition in Scrambled Domain via Salience-Aware Ensembles of Many Kernels.

Abstract: Facial look identity is a vital mission by means of human-interacting structures that goal to be aware of versions within the human's.