143 citations · 1.1k across the 106 of their papers we have counts for
7 papers · 1 filter
Discovering topic structures of a temporally evolving document corpus
Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Phung +1
In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes across the temporal dimens…
Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis
Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Phung +1
Notwithstanding recent work which has demonstrated the potential of using Twitter messages for content-specific data mining and analysis, the depth of such analysis is inherently l…
Using Twitter to learn about the autism community
Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Phung +2
Considering the raising socio-economic burden of autism spectrum disorder (ASD), timely and evidence-driven public policy decision making and communication of the latest guidelines…
The adaptable buffer algorithm for high quantile estimation in non-stationary data streams
Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
The need to estimate a particular quantile of a distribution is an important problem which frequently arises in many computer vision and signal processing applications. For example…
Groupwise registration of aerial images
Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
This paper addresses the task of time separated aerial image registration. The ability to solve this problem accurately and reliably is important for a variety of subsequent image…
Viewpoint distortion compensation in practical surveillance systems
Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
Our aim is to estimate the perspective-effected geometric distortion of a scene from a video feed. In contrast to all previous work we wish to achieve this using from low-level, sp…