Conventional programming models were designed to be used by expert programmers for programming for largescale multiprocessors, distributed computational clusters, or specialized p...
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
This paper deals with the development of a computer model to estimate the subjective workload score of individuals by evaluating their heart-rate (HR) signals. The identification o...
Mohit Kumar, D. Arndt, Steffi Kreuzfeld, Kerstin T...
Sensors are typically deployed to gather data about the physical world and its artifacts for a variety of purposes that range from environment monitoring, control, to data analysi...
f abstraction as applicable to break the problem's complexity, and innovating better techniques to address complexity of new microarchitectural features. Validation techniques...