By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as ...

Two-dimensional kernel density estimation plots illustrating training intensity distribution for both biathlon training programmes. Continuous two-dimensional (2D) Kernel Density Estimation (KDE) ...

Oregon's new building code makes stacked duplexes easier to build with hopes to increase housing density and affordability.

Olympia code is being amended to address missing middle housing across the city, and Principal Planner Joyce Phillips recently walked city officials through proposed amendments and plans for ...

Oregon's new building code makes stacked duplexes easier to build with hopes to increase housing density and affordability.

Volumetric Mapping with Panoptic Refinement using Kernel Density Estimation for Mobile Robots Reconstructing three-dimensional (3D) scenes with semantic understanding is vital in many robotic ...

Breast density is a widely established independent breast cancer risk factor. With the increasing utilization of digital breast tomosynthesis (DBT) in breast cancer screening, there is an opportunity ...

Video surveillance and crowd analysis are essential for urban public safety, particularly for accurate crowd counting and density estimation. Existing methods primarily use RGB modality, which limits ...

Unlike the conventional kernel density estimator, our robust estimator can be seen as a weighted kernel mapping summary for each sample. This kernel mapping performs the inner product in the Hilbert ...

Vandermeulen, R.A. and Scott, C. (2014) Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space. Proceedings of the 27th International Conference on Neural Information Processing ...