Ear recognition: More than a survey
Automatic identity recognition from ear images represents an active field of research within
the biometric community. The ability to capture ear images from a distance and in a covert …
the biometric community. The ability to capture ear images from a distance and in a covert …
[HTML][HTML] Advances and trends in real time visual crowd analysis
Real time crowd analysis represents an active area of research within the computer vision
community in general and scene analysis in particular. Over the last 10 years, various …
community in general and scene analysis in particular. Over the last 10 years, various …
Unconstrained ear recognition using deep neural networks
The authors perform unconstrained ear recognition using transfer learning with deep neural
networks (DNNs). First, they show how existing DNNs can be used as a feature extractor …
networks (DNNs). First, they show how existing DNNs can be used as a feature extractor …
[图书][B] Natural language processing and computational linguistics: speech, morphology and syntax
MZ Kurdi - 2016 - books.google.com
Natural language processing (NLP) is a scientific discipline which is found at the interface of
computer science, artificial intelligence and cognitive psychology. Providing an overview of …
computer science, artificial intelligence and cognitive psychology. Providing an overview of …
A robust technique for copy-move forgery detection from small and extremely smooth tampered regions based on the DHE-SURF features and mDBSCAN clustering
The keypoint-based copy-move forgery (CMF) detection is one of the most widely used CMF
detection methods; however the keypoint-based CMF detection method cannot effectively …
detection methods; however the keypoint-based CMF detection method cannot effectively …
Single and multiple copy–move forgery detection and localization in digital images based on the sparsely encoded distinctive features and DBSCAN clustering
Due to the advancements in digital image processing and multimedia devices, the digital
image can be easily tampered and presented as evidence in judicial courts, print media …
image can be easily tampered and presented as evidence in judicial courts, print media …
Performance analysis and comparison of ITO-and FTO-based optically transparent terahertz U-shaped patch antennas
AS Thampy, SK Dhamodharan - Physica E: Low-dimensional Systems and …, 2015 - Elsevier
An indium-doped tin oxide (ITO) and a fluorine-doped tin oxide (FTO)-based optically
transparent U-shaped patch antennas are designed to resonate at 750 GHz and their …
transparent U-shaped patch antennas are designed to resonate at 750 GHz and their …
An integrated approach to emotion recognition and gender classification
KP Rao, MVPCS Rao, NH Chowdary - Journal of Visual Communication …, 2019 - Elsevier
The human-computer communication adds to worldwide access to training, information
upgrade and the conveyance of value learning and instructions. Furthermore, the changing …
upgrade and the conveyance of value learning and instructions. Furthermore, the changing …
An analysis of image forgery detection techniques
C Deep Kaur, N Kanwal - Statistics, Optimization & Information …, 2019 - iapress.org
Society is becoming increasingly dependent on the internet and so does it become more
and more vulnerable to harmful threats. These threats are becoming vigorous and …
and more vulnerable to harmful threats. These threats are becoming vigorous and …
[PDF][PDF] An improved cat swarm optimization algorithm based on opposition-based learning and Cauchy operator for clustering
Y Kumar, G Sahoo - Journal of Information Processing Systems, 2017 - koreascience.kr
Clustering is a NP-hard problem that is used to find the relationship between patterns in a
given set of patterns. It is an unsupervised technique that is applied to obtain the optimal …
given set of patterns. It is an unsupervised technique that is applied to obtain the optimal …