Quantile regression for workforce analytics
Karthikeyan Natesan Ramamurthy, Kush R. Varshney, et al.
GlobalSIP 2013
Olfaction, the sense of smell, has received scant attention from a signal processing perspective in comparison to audition and vision. In this paper, we develop a signal processing paradigm for olfactory signals based on new scientific discoveries including the psychophysics concept of olfactory white. We describe a framework for predicting the perception of odorant compounds from their physicochemical features and use the prediction as a foundation for several downstream processing tasks. We detail formulations for odor cancellation and food steganography, and provide real-world empirical examples for the two tasks. We also discuss adaptive filtering and other olfactory signal processing tasks at a high level.
Karthikeyan Natesan Ramamurthy, Kush R. Varshney, et al.
GlobalSIP 2013
Sanjeeb Dash, Dmitry M. Malioutov, et al.
ICASSP 2014
Lav R. Varshney, Florian Pinel, et al.
ICCI*CC 2013
Evan Patterson, R. McBurney, et al.
IBM J. Res. Dev