In this paper, we compare the performances of FAISS and FENSHSES on near...
A growing interest has been witnessed recently in building nearest neigh...
In this paper, we describe our end-to-end content-based image retrieval
...
We revisit skip-gram negative sampling (SGNS), a popular neural-network ...
Finding the symmetric and orthogonal decomposition (SOD) of a tensor is ...
Many idealized problems in signal processing, machine learning and stati...
Recovering matrices from compressive and grossly corrupted observations ...
Recovering a low-rank tensor from incomplete information is a recurring
...
Illumination variation remains a central challenge in object detection a...