The unbounded knapsack problem with bounded weights is a variant of the
...
We introduce a deep recursive octree network for the compression of 3D v...
Any generic deep machine learning algorithm is essentially a function fi...
We present a conditional probabilistic framework for collaborative
repre...
We present an end-to-end CNN architecture for fine-grained visual recogn...
The potential lack of fairness in the outputs of machine learning algori...
This letter introduces the LOOP binary descriptor (local optimal oriente...
Binary codes can be used to speed up nearest neighbor search tasks in la...