In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...
In our previous work, we introduced Spatially Varying Transforms (SVT) for video coding, where the location of the transform block within the macroblock is not fixed but varying. ...
Cixun Zhang, Kemal Ugur, Jani Lainema, Moncef Gabb...
BLASTn is a ubiquitous tool used for large scale DNA analysis. Detailed profiling tests reveal that the most computationally intensive sections of the BLASTn algorithm are the sc...
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
In this paper, we propose a novel algorithm, named as Spatially Varying Transform (SVT). The basic idea of SVT is that we do not restrict the transform coding inside normal block b...
Cixun Zhang, Kemal Ugur, Jani Lainema, Moncef Gabb...