Accelerating particle size distribution estimation | MIT News
The pharmaceutical industry has long struggled with the problem of controlling the characteristics of a drying mixture, a critical step ...
The pharmaceutical industry has long struggled with the problem of controlling the characteristics of a drying mixture, a critical step ...
Cardinality estimation (CE) is crucial for optimizing query performance in relational databases. It involves predicting the number of intermediate results ...
This article has been accepted at the IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 Acoustic signals ...
Annotated data is an essential ingredient for training, evaluating, benchmarking, and putting machine learning models into production. Therefore, it is ...
Optical flow estimation, a cornerstone of computer vision, allows predicting motion on a per-pixel basis between consecutive images. This technology ...
The research field focuses on the integration of machine learning (ML) in healthcare for personalized treatment. This innovative approach aims ...
We study the problem of locally private mean estimation of high-dimensional vectors on the Euclidean ball. Existing algorithms for this ...