proj.jemdoc

# jemdoc: menu{MENU}{proj.html}
= Gaurav Gupta

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{}{colorGrid}{part}{pics/rcnn.png}{rect}{RCNN}{560px}{200px}{Recurrent CNNs}{rcnn.html}{Recurrent Convolutional Neural Networks for sound classification}
{}{colorGrid}{part}{pics/DeAn.png}{rect}{DeAn}{350px}{200px}{Active Learning}{dean.html}{Deterministic Annealing-based Active Learning for DNNs}
{}{colorGrid}{part}{pics/f_diff.png}{rect}{fdiff}{350px}{200px}{Fractional Diffusion Equations}{fDiff.html}{Learning fractional PDEs from the time-series data}
{}{colorGrid}{part}{pics/appSMF.png}{rect}{aSMF}{250px}{220px}{Approximate submodular functions}{appSMF.html}{Approximating a non-submodular function by bounding the function marginals with submodular functions}
{}{colorGrid}{part}{pics/spikeNet.png}{rect}{spkNet}{390px}{200px}{Network Reconstruction with spiking events}{spikeNet.html}{Complex networks reconstruction from spike trains using generalized poisson process with unknown unknowns}
{}{colorGrid}{part}{pics/complexNet.png}{rect}{cNetUU}{250px}{220px}{Dealing with Unknown Unknowns}{uu.html}{Complex networks modeling using fractional dynamics in the presense of hidden nodes/unknown unknowns}
{}{colorGrid}{part}{pics/brainMain.png}{rect}{brainEEG}{280px}{220px}{Re-thinking EEG based interfaces}{eeg.html}{Fractional dynamical modeling of EEG signals for motor imagery task predictions}
{}{colorGrid}{part}{pics/ror.PNG}{rect}{ror}{250px}{250px}{Resource allocation in uncertainty}{ror.html}{Dynamics resource allocation under uncertain environments}

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