搜索结果: 1-15 共查到“计算机科学技术 face”相关记录102条 . 查询时间(0.1 秒)
Many of us easily recognize emotions expressed in others’ faces. A smile may mean happiness, while a frown may indicate anger. Autistic people often have a more difficult time with this task. It’s unc...
The human brain seems to care a lot about faces. It’s dedicated a specific area to identifying them, and the neurons there are so good at their job that most of us can readily recognize thousands of i...
2017第12届IEEE国际自动人脸与手势识别会议（2017 12th IEEE International Conference on Automatic Face & Gesture Recognition）
2017 第12届 IEEE 国际自动人脸 手势识别 会议
2017/5/22
The 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017) will be held in Washington, DC on May 30 –June 3, 2017. The IEEE conference series on Automatic Face and Gest...
ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES
Face Detection Cascade Algorithm Decision Trees
2017/6/19
Face detection algorithm based on a cascade of ensembles of decision trees (CEDT) is presented. The new approach allows detecting faces other than the front position through the use of multiple classi...
Learning Compact Face Representation: Packing a Face into an int32
face recognition face search deep learning
2016/1/22
This paper addresses the problem of producing very compact representation of a face image for large-scale face search and analysis tasks. In tradition, the compactness of face rep-resentation is achie...
Enhancing Creativity in Teaching and Learning in Online, Face-to-Face and Hybrid Courses
Creativity Teaching Learning Online oourses Hybrid courses
2014/12/20
This engaging session will feature four faculty members from one school who have incorporated a number of pedagogical and technological approaches into their courses to encourage creativity in their s...
Using Technology to Provide Multimodal Learning Opportunities and Enhance Student Engagement in Face-to-Face and Online Courses
Multimodal learning student engagement online courses learning styles assessment
2014/12/20
This poster showcases how the presenters incorporate a variety of technologies, media and interactive elements to provide multimodal learning opportunities and enhance student engagement in both face-...
GREAT Expectations: Promoting Active and Collaborative Learning in Online and Face-to-face Courses
Active Learning Assessment Collaborative Learning Online Teaching/Learning Team-Based Learning
2014/12/20
GREAT Expectations stands for Group work, Reflection, Evaluation of self and peers, Application of course content to real-world problems and Testing (pre- and post-testing). It encompasses all of the ...
Looking Out and Looking In: Promoting Academic Success through Peer Review and Self-Reflection in Online and Face-to-Face Courses
academic success student learning assessment student engagement peer review self-reflection
2014/12/20
This presentation will illuminate why peer review and self-reflection are important in promoting academic success and student engagement in both online and face-to-face courses. It will showcase the e...
Using Context to Enhance the Understanding of Face Images
Artificial Intelligence Computer Vision context Face detection Face recognition Machine Learning
2014/12/18
Faces are special objects of interest. Developing automated systems for detecting and recognizing faces is useful in a variety of application domains including providing aid to visually-impaired peopl...
Weakly Supervised Learning for Unconstrained Face Processing
deep learning face alignment face recognition machine learning unsupervised alignment unsupervised learning
2014/12/18
Machine face recognition has traditionally been studied under the assumption of a carefully controlled image acquisition process. By controlling image acquisition, variation due to factors such as pos...
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, ...
Face Recognition Based on Non-Corresponding Region Matching
Recognition Non-Corresponding Region Matching
2013/7/24
In previous works of face recognition, similarity betweenfaces is measured by comparing corresponding face regions. That is to say, matching eyes with eyes and mouths withmouths etc.. In this paper, w...
Sparsely Encoded Local Descriptor for Face Recognition
Random-projection tree Sparse coding face verification face identification
2013/7/24
In this paper, a novel Sparsely Encoded Local Descriptor (SELD) is proposed for face recognition. Compared with K-means or Random-projection tree based previous methods, sparsity constraint is introdu...
Margin Emphasized Metric Learning and Its Application to Gabor Feature Based Face Recognition
face verification metric learning margin Gabor Labeled Faces in Wild
2013/7/24
In addressing side information based face recognition scenario, a new Margin Emphasized Metric Learning (MEML) method is proposed. As an improvement of previous metric learning, MEML defines a new obj...