Information Retrieval Technology
15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, China, November 7–9, 2019, Proceedings
Article
Multi-level features are commonly employed in the cascade network, which is currently the dominant framework in multi-view stereo (MVS). However, there is a potential issue that the recent popular multi-level ...
Article
Electrochemical actuators based on conductive polymers are emerging as a strong competitive in the field of soft actuators because of their intrinsically conformable/elastic nature, low cost, low operating vol...
Chapter and Conference Paper
Although the release and analysis of high-dimensional data bring tremendous value to people, it causes great hidden danger to participants’ privacy in the meantime. Various privacy protection methods based on ...
Chapter and Conference Paper
Obtaining valuable information from massive data efficiently has become our research goal in the era of Big Data. Text summarization technology has been continuously developed to meet this demand. Recent work ...
Chapter and Conference Paper
A sentence may express sentiments on multiple aspects. When these aspects are associated with different sentiment polarities, a model’s accuracy is often adversely affected. We observe that multiple aspects in...
Chapter
Deep neural networks have been serving as the main driving force for the emergence of cutting-edge applications in many areas including computer vision, speech recognition, natural language processing, etc. In...
Book and Conference Proceedings
15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, China, November 7–9, 2019, Proceedings
Chapter and Conference Paper
The traditional negative sequence pattern mining algorithm is based on the same importance and probability of occurrence of each item, but it is different in the actual database. Based on the Neg-GSP algorithm...
Article
In recent years, crowd counting in still images has attracted many research interests due to its applications in public safety. However, it remains a challenging task for reasons of perspective and scale varia...
Book and Conference Proceedings
13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings
Chapter and Conference Paper
Supervised named entity recognition systems often suffer from training data inadequacy when deal with domain specific corpora, e.g., documents in medical and healthcare. For these domains, obtaining some seed wor...
Chapter and Conference Paper
Health forums have gained attention from researchers for studying various topics on healthcare. In many of these studies, identifying biomedical words by using the MetaMap is often a pre-processing step. MetaM...
Book and Conference Proceedings
11th Asia Information Retrieval Societies Conference, AIRS 2015, Brisbane, QLD, Australia, December 2-4, 2015. Proceedings
Chapter and Conference Paper
Partially due to the short and ambiguous keyword queries, many image search engines group search results into conceptual image clusters to minimize the chance of completely missing user search intent. Very oft...
Article
Information propagation within the blogosphere is of much importance in implementing policies, marketing research, launching new products, and other applications. In this paper, we take a microscopic view of t...
Chapter and Conference Paper
Text classification has gained research interests for decades. Many techniques have been developed and have demonstrated very good classification accuracies in various applications. Recently, the popularity of...
Chapter and Conference Paper
Despite many users get timely information through various social media platforms, news websites remain important mainstream media for high-quality news articles and comprehensive news coverage. Moreover, news ...
Book and Conference Proceedings
Third International Conference, SocInfo 2011, Singapore, October 6-8, 2011. Proceedings
Chapter and Conference Paper
In this paper we propose a general framework for word sense disambiguation using knowledge latent in Wikipedia. Specifically, we exploit the rich and growing Wikipedia corpus in order to achieve a large and ro...
Chapter and Conference Paper
We introduce MobiTOP, a Web-based system for organizing and retrieving hierarchical location-based annotations. Each annotation contains multimedia content (such as text, images, video) associated with a locat...