搜索结果: 1-15 共查到“模式识别 Recognition”相关记录35条 . 查询时间(1.14 秒)
Facial recognition software has a gender problem(图)
Facial recognition software gender problem
2019/11/5
With a brief glance, facial recognition software can categorize gender with remarkable accuracy. But if that face belongs to a transgender person, such systems get it wrong more than one third of the ...
中国地质大学科学技术发展院陈略峰, 吴敏等自动化学院 Information Sciences, 2018. Softmax Regression Based Deep Sparse Autoencoder Network for Facial Emotion Recognition in Human-Robot Interaction
深度;学习;情感;识别;理解;计算;智能;领域
2021/10/21
近日,中国地质大学自动化学院复杂系统先进控制与智能自动化湖北省重点实验室情感计算团队,有关“基于深度学习的情感识别与理解”研究成果发表在计算智能领域国际重要期刊《Information Sciences》上。该文第一作者为自动化学院陈略峰老师,通讯作者为自动化学院吴敏教授。
FEATURE VECTOR CONSTRUCTION METHOD FOR IRIS RECOGNITION
Iris recognition Iris feature extraction Biometrics Mobile biometrics Quantization Encoding
2017/6/19
One of the basic stages of iris recognition pipeline is iris feature vector construction procedure. The procedure represents the extraction of iris texture information relevant to its subsequent compa...
GAIT RECOGNITION BASED ON CONVOLUTIONAL NEURAL NETWORKS
Gait Recognition Biometrics Convolutional Neural Networks Optical Flow
2017/6/19
In this work we investigate the problem of people recognition by their gait. For this task, we implement deep learning approach using the optical flow as the main source of motion information and comb...
AERIAL OBJECT RECOGNITION ALGORITHM BASED ON CONTOUR DESCRIPTOR
vision system object recognition Euler angles geosphere contour descriptor
2017/6/19
This paper describes the image recognition algorithm for on-board and stationary vision system. Suggested algorithm is intended to recognize the aerial object of a specific kind using the set of the r...
全国模式识别学术会议(Chinese Conference on Pattern Recognition, CCPR)旨在为国内学者提供一个学术交流和成果展示的平台,促进国内模式识别研究和应用的发展。 该会议2007年和2008年在北京、2009年在南京、2010年在重庆、2012年在北京、2014年在长沙举行,得到了国内同行的积极响应。2012年起,全国模式识别学术会议改为两年举行一次。
New Device Could Greatly Improve Speech and Image Recognition(图)
Greatly Improve Speech Image Recognition
2015/5/25
Researchers at the University of California, Riverside Bourns College of Engineering and the Russian Academy of Sciences have successfully demonstrated pattern recognition using a magnonic h...
Limited Labels for Unlimited Data: Active Learning for Speaker Recognition
speaker recognition i-vectors active learning
2014/11/27
In this paper, we attempt to quantify the amount of labeled data necessary to build a state-of-the-art speaker recognition system. We begin by using i-vectors and the cosine similarity metric to repre...
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition
Non-negative factor analysis model adaptation Gaussian mixture model weight dialect recognition language recognition
2014/11/27
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition.
Speech Feature Denoising and Dereverberation via Deep Autoencoders for Noisy Reverberant Speech Recognition
robust speech recognition feature denoising denoising autoencoder deep neural network
2014/11/27
Denoising autoencoders (DAs) have shown success in generating robust features for images, but there has been limited work in applying DAs for speech. In this paper we present a deep denoising autoenco...
A Back-off Discriminative Acoustic Model for Automatic Speech Recognition
context-dependent acoustic modeling back-off acoustic models discriminative training
2014/11/27
In this paper we propose a back-off discriminative acoustic model for Automatic Speech Recognition (ASR). We use a set of broad phonetic classes to divide the classification problem originating from c...
Research Developments and Directions in Speech Recognition and Understanding, Part 1
Research Developments Speech Recognition Understanding
2014/11/27
To advance research, it isimportant to identify prom-ising future research direc-tions, especially those thathave not been adequately pursued or funded in the past. The working group producing this ar...
Robust Speaker Recognition in Noisy Conditions
Missing-feature theory multicondition training noise compensation noise modeling speaker recognition
2014/11/27
This paper investigates the problem of speaker identification and verification in noisy conditions, assuming that speech signals are corrupted by environmental noise, but knowledge about the noise cha...
《Pattern Recognition》(图)
Pattern Recognition
2013/10/8
Pattern Recognition is the official journal of the Pattern Recognition Society. The Society was formed to fill a need for information exchange among research workers in the pattern recognition field. ...
Weighted Scatter-Difference-Based Two DimensionalDiscriminant Analysis for Face Recognition
Feature Extraction Face Recognition LDA PCA 2DPCA 2DLDA WSD2DDA
2013/1/28
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension. It has been used widely in many applications involving high-dimensional data, such as face recognition, ...