Samarjit Das

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In this paper, we propose to use a weakly supervised machine learning framework for automatic detection of Parkinson's Disease motor symptoms in daily living environments. Our primary goal is to develop a monitoring system capable of being used outside of controlled laboratory settings. Such a system would enable us to track medication cycles at home and(More)
Learning acoustic models directly from the raw waveform data with minimal processing is challenging. Current waveform-based models have generally used very few (∼2) convolutional layers, which might be insufficient for building high-level discriminative features. In this work, we propose very deep convolutional neural networks (CNNs) that directly(More)
We study asymptotics of parameter estimates in conditional heteroscedastic models. The estimators considered are those obtained by minimizing certain functionals and those obtained by solving estimation equations. We establish consistency and derive asymptotic limit laws of the estimators. Condition under which the limit law is normal is studied. Further,(More)
Recent advancements in the portability and affordability of optical motion capture systems have opened the doors to various clinical applications. In this paper, we look into the potential use of motion capture data for the quantitative analysis of motor symptoms in Parkinson's Disease (PD). The standard of care, human observer-based assessments of the(More)
In this correspondence, our goal is to develop a visual tracking algorithm that is able to track moving objects in the presence of illumination variations in the scene and that is robust to occlusions. We treat the illumination and motion (<i>x</i>-<i>y</i> translation and scale) parameters as the unknown &#x201C;state&#x201D; sequence. The observation is(More)
BACKGROUND There are likely marked differences in endotracheal intubation (ETI) techniques between novice and experienced providers. We performed a proof of concept study to determine if portable motion technology could identify the motion components of ETI between novice and experienced providers. METHODS We recruited a sample of novice and experienced(More)
Our goal is to develop statistical models for the shape change of a configuration of ¿landmark¿ points (key points of interest) over time and to use these models for filtering and tracking to automatically extract landmarks, synthesis, and change detection. The term ¿shape activity¿ was introduced in recent work to denote a particular stochastic model for(More)
We analyse a panel of output series for India, disaggregated by 15 states and 14 broad industry groups. Using principal components (Bai, 2004; Bai & Ng, 2004) we …nd that a single common "V-Factor" captures well the signi…cant shift in the cross-sectional distribution of state-sectoral output growth rates since the the 2nd half of the 1980s. The timing of(More)