Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
Extracting automatically the semantics from visual data is a real challenge. We describe in this paper how recent work in cognitive vision leads to significative results in activi...
This paper looks at a parsing-based alternative to word error rate (WER) for optimizing recognition, SParseval, hypothesizing that it may be a better objective for applications su...
Dustin Hillard, Mei-Yuh Hwang, Mary P. Harper, Mar...
The fusion of information from heterogenous sensors is crucial to the effectiveness of a multimodal system. Noise affect the sensors of different modalities independently. A good ...
Shankar T. Shivappa, Bhaskar D. Rao, Mohan M. Triv...
It has been shown that the principal subspace based multi-channel Wiener filter (MWF) provides better performance than the conventional MWF for the interference suppression in th...