This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...
Presented in this paper is a method of retrieving higher order statistical functions of the ocean wave surface from sunglint, or solar optical radiation specularly reflected from t...
This paper focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nod...
In this paper, we address the problem of mining transliterations of Named Entities (NEs) from large comparable corpora. We leverage the empirical fact that multilingual news artic...
Raghavendra Udupa, K. Saravanan, A. Kumaran, Jagad...
This paper presents a high-resolution image reconstruction method from low-resolution image sequence. It is difficult to recognize details from a low-resolution image because of s...