We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
Data Warehouses provide sophisticated tools for analyzing complex data online, in particular by aggregating data along dimensions spanned by master data. Changes to these master da...
Duplicate detection determines different representations of realworld objects in a database. Recent research has considered the use of relationships among object representations t...
In our present work we introduce the use of data fusion in the field of DoS anomaly detection. We present DempsterShafer’s Theory of Evidence (D-S) as the mathematical foundati...