Reproduces IVFS for high-dimensional data structure preservation.
arXiv research
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Paper predicts embryo implantation probability from IVF time-lapse imaging.
Tens of millions of women suffer from infertility worldwide each year. In vitro fertilization (IVF) is the best choice for many such patients. However, IVF is expensive, time-consuming, and both physically and emotionally demanding. The first question that a patient usually asks before the IVF is how likely she will co…
This paper presents an inverted-file k-means clustering algorithm (IVF) suitable for a large-scale sparse data set with potentially numerous classes. Given such a data set, IVF efficiently works at high-speed and with low memory consumption, which keeps the same solution as a standard Lloyd's algorithm. The high perfor…
Paper discusses directional differentiability of interval-valued functions on Riemannian manifolds.
IVFS simplifies feature selection for high-dimensional data preservation.
Amortizes MIPS by training neural networks to predict optimal keys.