Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
The Fast Vector Similarity Library is a high-performance Rust-based tool for efficiently computing similarity measures between vectors. It is ideal for data analysis, machine learning, and statistical ...
Bitshuffle is an algorithm that rearranges typed, binary data for improving compression, as well as a python/C package that implements this algorithm within the Numpy framework. The library can be ...
The detection of smoking behavior is an emerging field faced with challenges in identifying small, frequently occluded objects like cigarette butts using existing deep learning technologies. Such ...
White matter hyperintensities (WMH), a biomarker of small vessel disease, are often found in Alzheimer’s disease (AD) and their advanced detection and quantification can be beneficial for research and ...
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored ...
Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...
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