A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Over the past decade, Professor L. Mahadevan's Soft Math Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) has helped establish how the ancient Japanese paper arts ...
This study addresses the challenges of anatomical diversity and precision in orthopedic surgery by introducing a novel computational methodology for designing customized osteosynthesis plates. The ...
MAtCha Gaussians reconstruction from 10 input views. We provide a dedicated script for each of these steps, as well as a script train.py that runs the entire pipeline. We explain how to use this ...
Abstract: This paper presents a new pipelined hardware architecture for the computation of the real-valued fast Fourier transform (RFFT). The proposed architecture takes advantage of the reduced ...
C++ & Java implementations of 6 algorithm problems — tromino tiling, knight's tour, Tower of Hanoi (4-peg), knight swap, target shooting, and lattice coverage — using Divide & Conquer, Greedy, BFS, ...
Forward-looking imaging for maneuvering platforms has garnered significant interest in many military and civilian fields. As the maneuvering trajectory in the scanning period can be simplified as the ...
Abstract: This paper introduces an algorithm for rapid progressive simplification of tetrahedral meshes: TetFusion. We describe how a simple geometry decimation operation steers a rapid and controlled ...
The problem of optimizing over random structures emerges in many areas of science and engineering, ranging from statistical physics to machine learning and artificial intelligence. For many such ...
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