Nearest neighbor forecasting models are attractive with their simplicity and the ability to predict complex nonlinear behavior. They rely on the assumption that observations simila...
In this paper, we propose a new object detection method that does not need a learning mechanism. Given a hand-drawn model as a query, we can detect and locate objects that are sim...
Chih-Wen Su, Mark Liao, Yu-Ming Liang, Hsiao-Rong ...
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
This paper presents a new use of the Curvelet transform as a multiscale method for indexing linear singularities and curved handwritten shapes in documents images. As it belongs t...
This paper describes an audio retrieval system,Quebex,that works on raw audio data. The system is able to retrieve songs that are rhythmically and timbrewise similar from a databa...