Identification and classification of chemicals using terahertz reflective spectroscopic focal-plane imaging system
H Zhong, A Redo-Sanchez, XC Zhang - Optics express, 2006 - opg.optica.org
We present terahertz (THz) reflective spectroscopic focal-plane imaging of four explosive
and bio-chemical materials (2, 4-DNT, Theophylline, RDX and Glutamic Acid) at a standoff …
and bio-chemical materials (2, 4-DNT, Theophylline, RDX and Glutamic Acid) at a standoff …
Gradient method for determining non-informative features on the basis of a homogeneous criterion with a positive degree
A Samijonov, N Mamatov… - IOP Conference …, 2020 - iopscience.iop.org
The choice of informative features is one of the main tasks in the problem of pattern
recognition and the effectiveness of its solution in many respects depends on the criterion of …
recognition and the effectiveness of its solution in many respects depends on the criterion of …
Research on face recognition based on deep learning
H Wang, L Guo - 2021 3rd International Conference on Artificial …, 2021 - ieeexplore.ieee.org
In order to reduce the occurrence of identity theft and promote the fairness of clocking in,
face recognition has been attracting increasing attention. In this paper, on the basis of …
face recognition has been attracting increasing attention. In this paper, on the basis of …
Use of leaf color images to identify nitrogen and potassium deficient tomatoes
G Xu, F Zhang, SG Shah, Y Ye, H Mao - Pattern Recognition Letters, 2011 - Elsevier
Soilless culture has been popular in modern agriculture. However, plants in soilless culture
often appear to be nutrient deficient. Therefore the intellective diagnostic system of plants …
often appear to be nutrient deficient. Therefore the intellective diagnostic system of plants …
A survey on feature extraction for pattern recognition
S Ding, H Zhu, W Jia, C Su - Artificial Intelligence Review, 2012 - Springer
In research of pattern recognition, we always want to achieve the correct classification rate
according to the characteristics required. Feature extraction greatly affects the design and …
according to the characteristics required. Feature extraction greatly affects the design and …
3D motion retrieval with motion index tree
With the development of Motion capture techniques, more and more 3D motion libraries
become available. In this paper, we present a novel content-based 3D motion retrieval …
become available. In this paper, we present a novel content-based 3D motion retrieval …
Hand gesture recognition research based on surface EMG sensors and 2D-accelerometers
For realizing multi-DOF interfaces in wearable computer system, accelerometers and
surface EMG sensors are used synchronously to detect hand movement information for …
surface EMG sensors are used synchronously to detect hand movement information for …
A neuro-fuzzy inference system through integration of fuzzy logic and extreme learning machines
ZL Sun, KF Au, TM Choi - IEEE Transactions on Systems, Man …, 2007 - ieeexplore.ieee.org
This paper investigates the feasibility of applying a relatively novel neural network
technique, ie, extreme learning machine (ELM), to realize a neuro-fuzzy Takagi-Sugeno …
technique, ie, extreme learning machine (ELM), to realize a neuro-fuzzy Takagi-Sugeno …
[BOOK][B] Selforganizology: The Science of Self-Organization
WJ Zhang - 2015 - books.google.com
" This invaluable book is the first of its kind on" selforganizology", the science of self-
organization. It covers a wide range of topics, such as the theory, principle and methodology …
organization. It covers a wide range of topics, such as the theory, principle and methodology …
A method for speeding up feature extraction based on KPCA
Kernel principal component analysis (KPCA) extracts features of samples with an efficiency
in inverse proportion to the size of the training sample set. In this paper, we develop a novel …
in inverse proportion to the size of the training sample set. In this paper, we develop a novel …