搜索结果: 1-15 共查到“数字媒体技术 Learning”相关记录23条 . 查询时间(0.14 秒)
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-...
In this paper, we propose a learning based approachto estimating pixel disparities from the motion informationextracted out of input monoscopic video sequences. We representeach video frame with super...
Margin Emphasized Metric Learning and Its Application to Gabor Feature Based Face Recognition
face verification metric learning margin Gabor Labeled Faces in Wild
2011/7/24
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...
Learning-to-Share Based on Finding Groups for Large Scale Image Classification
group sharing large scale classification hierarchical model
2011/7/24
With the large scale image classification attracting more attention in recent years, a lot of new challenges spring up. To tackle the problems of distribution imbalance and divergent visual correlatio...
Learning Image Vicept Description via Mixed-Norm Regularization for Large Scale Semantic Image Search
Vicept Description via Mixed-Norm Regularization Large Scale
2011/7/24
The paradox of visual polysemia and concept polymorphism has been a great challenge in the large scale semanticimage search. To address this problem, our paper proposesa new method to generate image V...
ONLINE VICEPT LEARNING FOR WEB-SCALE IMAGE UNDERSTANDING
Online Vicept Learning Spatial Pyramid Matching Image Understanding
2011/7/18
Web-scale image understanding is a challenging but signifi-cant task to comprehend image contents on the internet. Thee-facto standard methods based on machine learning or computer vision still ...
Efficient lp-Norm Multiple Feature Metric Learning for Image Categorization
Algorithms Performance Experimentation
2011/2/15
Previous metric learning approaches are only able to learn the metric based on single concatenated multivariate feature representation. However, for many real world problems with multiple feature repr...
Multi-Task Rank Learning for Visual Saliency Estimation
Generalization ability multi-task learning pairwise rank learning visual saliency.
2011/2/12
Visual saliency plays an important role in variousvideo applications such as video retargeting and intelligentvideo advertising. However, existing visual saliency estimationapproaches often construct ...
LEARNING THE TRIP SUGGESTION FROM LANDMARK PHOTOS ON THE WEB
social media tourist recommendation trip suggestion graph quantization shortest path
2011/1/18
In this paper, we introduce a novel touristic trip suggestionsystem to facilitate the traveling of mobile users in a givencity. Given the current user location and his touristic destination, our syste...
Coupled Metric Learning for Face Recognition with Degraded Images
Coupled Metric Learning Face Recognition Degraded Images
2009/11/16
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited performance, due to the...
JOINT LEARNING FOR SIDE INFORMATION AND CORRELATION MODEL BASED ON LINEAR REGRESSION MODEL IN DISTRIBUTED VIDEO CODING
Side information correlation model linear regression model joint learning distributed video coding
2009/11/16
The coding efficiency of distributed video coding system is significantly determined by the side information quality and correlation model. Motivated by theoretical analysis of the maximum likelihood ...
Learning Long Term Face Aging Patterns from Partially Dense Aging Databases
Learning Long Term Face Aging Patterns Partially Dense Aging Databases
2009/10/16
Studies on face aging are handicapped by lack of long term dense aging sequences for model training. To handle this problem, we propose a new face aging model, which learns long term face aging patter...
Group-Sensitive Multiple Kernel Learning for Object Categorization
Group-Sensitive Multiple Kernel Learning Object Categorization
2009/9/16
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categorization. By introducing...
MULTIPLE KERNEL ACTIVE LEARNING FOR IMAGE CLASSIFICATION
Multiple kernel learning active learning image classification
2009/6/28
Recently, multiple kernel learning (MKL) methods have shown promising performance in image classification. As a sort of supervised learning, training MKL-based classifiers relies on selecting and anno...
LOCAL ADAPTIVE LEARNING AND FUSION FOR SIDE INFORMATION INTERPOLATION IN DISTRIBUTED VIDEO CODING
Side information interpolation distributed video coding equivalent kernel spatio-temporal local adaptive learning fusion
2009/5/16
Motivated by theoretical analysis of the curve fitting problem based on equivalent kernel, in this paper we propose a local adaptive learning and fusion model for side information interpolation in dis...