huniuc,github

huniuc's Projects

i3d_for_mcad_dataset

Do the preprocessing for the new dataset MCAD and train the I3D model for the last Inception Model(Inc)

idt-fv-for-action-recogniton

iDT(mproved dense trajectories ) and Fisher Vector algorithm implement with C++

voxnet

3D/Volumetric Convolutional Neural Networks with Theano+Lasagne

With the rapid popularization of Internet mobile payment, we enjoy more and more conveniences in living. Such as when you walk into a restaurant in the mall, the phone will automatically pop up the restaurant coupons; when you walk into the mall clothing store, the phone can automatically recommend this shop your favorite clothes; passing a mall jewelry When the store, the phone can automatically prompt you for a long time a diamond ring already in stock; leave the mall parking, the phone with your permission can automatically pay the car fare. These enjoyable services you enjoy are inseparable from behind the big data mining and machine learning support. At the right time, the right place to give users the most effective service, is the major new battlefield of intelligent development of Internet companies. The goal of this competition is to locate the shop where the user is currently located. In real life, when a user opens a mobile phone in a shopping mall environment, there are some challenges such as inaccurate positioning signals, incomplete environmental information, missing shop information, and too close space in different shops. Therefore, how to accurately determine that the shop where the user is located is a problem.

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