Memory vectors for similarity search in high-dimensional spaces
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …
Memory Vectors for Similarity Search in High-Dimensional Spaces
A Iscen, T Furon, V Gripon, M Rabbat… - IEEE Transactions on Big …, 2018 - computer.org
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …
Memory vectors for similarity search in high-dimensional spaces
A Iscen, T Furon, V Gripon, M Rabbat… - IEEE transactions on big …, 2017 - hal.univ-smb.fr
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …
[PDF][PDF] Memory vectors for similarity search in high-dimensional spaces
A Iscen, T Furon, V Gripon, M Rabbat, H Jégou - scholar.archive.org
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …
Memory vectors for similarity search in high-dimensional spaces
A Iscen, T Furon, V Gripon, M Rabbat… - IEEE transactions on …, 2017 - archivesic.ccsd.cnrs.fr
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …
Memory vectors for similarity search in high-dimensional spaces
A Iscen, T Furon, V Gripon, M Rabbat… - IEEE transactions on big …, 2017 - hal.science
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …
Memory vectors for similarity search in high-dimensional spaces
A Iscen, T Furon, V Gripon, M Rabbat… - IEEE Transactions on …, 2017 - hal-emse.ccsd.cnrs.fr
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …
Memory vectors for similarity search in high-dimensional spaces
A Iscen, T Furon, V Gripon, M Rabbat… - arXiv preprint arXiv …, 2014 - arxiv.org
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …
Memory vectors for similarity search in high-dimensional spaces
A Iscen, T Furon, V Gripon, M Rabbat… - arXiv e-prints, 2014 - ui.adsabs.harvard.edu
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …
Memory vectors for similarity search in high-dimensional spaces
A Iscen, T Furon, V Gripon, M Rabbat… - IEEE Transactions on …, 2017 - inria.hal.science
We study an indexing architecture to store and search in a database of high-dimensional
vectors from the perspective of statistical signal processing and decision theory. This …
vectors from the perspective of statistical signal processing and decision theory. This …