Re-Weighted Discriminatively Embedded -Means for Multi-View Clustering
Recent years, more and more multi-view data are widely used in many real-world
applications. This kind of data (such as image data) is high dimensional and obtained from …
applications. This kind of data (such as image data) is high dimensional and obtained from …
Local robust sparse representation for face recognition with single sample per person
J Gu, H Hu, H Li - IEEE/CAA Journal of Automatica Sinica, 2017 - ieeexplore.ieee.org
The purpose of this paper is to solve the problem of robust face recognition U+ 0028 FR U+
0029 with single sample per person U+ 0028 SSPP U+ 0029. In the scenario of FR with …
0029 with single sample per person U+ 0028 SSPP U+ 0029. In the scenario of FR with …
An improved redundant dictionary based on sparse representation for face recognition
F Meng, Z Tang, Z Wang - Multimedia Tools and Applications, 2017 - Springer
In recent years sparse representation has been widely used for face recognition and
achieved good results. Most sparse representation methods need a redundant dictionary to …
achieved good results. Most sparse representation methods need a redundant dictionary to …
Illumination and pose variable face recognition via adaptively weighted ULBP_MHOG and WSRC
K Wang, Z Chen, QMJ Wu, C Liu - Signal Processing: Image …, 2017 - Elsevier
Illumination and pose variable face recognition is an important and challenging task in
computer vision. To solve the problem that the accuracy of face recognition reduces with …
computer vision. To solve the problem that the accuracy of face recognition reduces with …
Method for performing face recognition in a radio access network
A Damola, H Green - US Patent 9,552,373, 2017 - Google Patents
US Cl. CPC....... G06K 9/00979 (2013.01); G06K 9/6201 The present invention relates to a
method for performing(2013.01); H04L 67/306 (2013.01); H04W face recognition in a …
method for performing(2013.01); H04L 67/306 (2013.01); H04W face recognition in a …
Data-independent vs. data-dependent dimension reduction for pattern recognition in high dimensional spaces
TM Hassan - 2017 - bear.buckingham.ac.uk
There has been a rapid emergence of new pattern recognition/classification techniques in a
variety of real world applications over the last few decades. In most of the pattern …
variety of real world applications over the last few decades. In most of the pattern …
Image clustering under domain shift
R Gopalan - 2017 IEEE Third International Conference on …, 2017 - ieeexplore.ieee.org
We address domain adaptation in the context of clustering where we are given a set of
unlabeled data, coming from several domains, and the goal is to group data into different …
unlabeled data, coming from several domains, and the goal is to group data into different …
On the estimation of face recognition system performance using image variability information
The type and amount of variation that exists among images in facial image datasets
significantly affects Face Recognition System Performance (FRSP). This points towards the …
significantly affects Face Recognition System Performance (FRSP). This points towards the …
대칭알고리즘을이용한얼굴인식시스템에관한연구
강상규， 김형수， 한영환 - 한국정보기술학회논문지, 2017 - dbpia.co.kr
요 약얼굴 인식은 카메라를 이용해 센서 접촉 없이 이미지를 획득해 사용자 식별과 인증이
가능한 방법이다. 그러나 얼굴 인식 시스템은 조명, 이미지의 크기 및 방향 등 외부 요소들에 …
가능한 방법이다. 그러나 얼굴 인식 시스템은 조명, 이미지의 크기 및 방향 등 외부 요소들에 …
A Conceptual Study on User Identification and Verification Process Using Face Recognition Techniques
PS Aithal - 2017 - papers.ssrn.com
The rapid growth of information and communication technology resulted in abundant data
and information growth in every field with the necessity for high data security. Face …
and information growth in every field with the necessity for high data security. Face …