Abstract--Sensor network ubiquitous environments may generate a lot of data including heterogeneous `raw' sensor data, low-level feature and/or trend data and higher-level con...
Brian J. d'Auriol, Le Xuan Hung, Sungyoung Lee, Yo...
The search for the optimal word sequence can be performed efficiently even in a speech recognizer with a very large vocabulary and complex models. This is achieved using pruning m...
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
This paper presents the design and implementation of a multi-resolution graph cuts (MRGC) for stereo-motion framework that produces dense disparity maps. Both stereo and motion ar...
Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are difï...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...