enter search term and/or author name
When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics
Rongrong Ji, Yue Gao, Wei Liu, Xing Xie, Qi Tian, Xuelong Li
Article No.: 1
Coming with the popularity of multimedia sharing platforms such as Facebook and Flickr, recent years have witnessed an explosive growth of geographical tags on social multimedia content. This trend enables a wide variety of emerging applications,...
A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems
Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, Chih-Jen Lin
Article No.: 2
Matrix factorization is known to be an effective method for recommender systems that are given only the ratings from users to items. Currently, stochastic gradient (SG) method is one of the most popular algorithms for matrix factorization....
Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature-Space Remapping (FSR)
Kyle D. Feuz, Diane J. Cook
Article No.: 3
Transfer learning aims to improve performance on a target task by utilizing previous knowledge learned from source tasks. In this paper we introduce a novel heterogeneous transfer learning technique, Feature-Space Remapping (FSR), which transfers...
On Discovery of Spatiotemporal Influence-Based Moving Clusters
Article No.: 4
A moving object cluster is a set of objects that move close to each other for a long time interval. Existing works have utilized object trajectories to discover moving object clusters efficiently. In this article, we define a spatiotemporal...
Identifying Controversial Wikipedia Articles Using Editor Collaboration Networks
Hoda Sepehri-Rad, Denilson Barbosa
Article No.: 5
Wikipedia is probably the most commonly used knowledge reference nowadays, and the high quality of its articles is widely acknowledged. Nevertheless, disagreement among editors often causes some articles to become controversial over time. These...
Resources Sequencing Using Automatic Prerequisite--Outcome Annotation
Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier
Article No.: 6
The objective of any tutoring system is to provide resources to learners that are adapted to their current state of knowledge. With the availability of a large variety of online content and the disjunctive nature of results provided by traditional...
Modeling the Thermal Dynamics of Buildings: A Latent-Force- Model-Based Approach
Siddhartha Ghosh, Steve Reece, Alex Rogers, Stephen Roberts, Areej Malibari, Nicholas R. Jennings
Article No.: 7
Minimizing the energy consumed by heating, ventilation, and air conditioning (HVAC) systems of residential buildings without impacting occupants’ comfort has been highlighted as an important artificial intelligence (AI) challenge. Typically,...
CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction
Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Jing Yuan, Fuzheng Zhang, Enhong Chen
Article No.: 8
With the growing popularity of location-based social networks, numerous location visiting records (e.g., check-ins) continue to accumulate over time. The more these records are collected, the better we can understand users’ mobility patterns...
A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction
Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao
Article No.: 9
In this article, we consider the problem of simultaneous low-rank recovery and sparse projection. More specifically, a new Robust Principal Component Analysis (RPCA)-based framework called Sparse Projection and Low-Rank Recovery...
Combining Sketching and Traditional Diagram Editing Tools
Gem Stapleton, Beryl Plimmer, Aidan Delaney, Peter Rodgers
Article No.: 10
The least cognitively demanding way to create a diagram is to draw it with a pen. Yet there is also a need for more formal visualizations, that is, diagrams created using both traditional keyboard and mouse interaction. Our objective is to allow...