Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

We propose the Unconformity-enhanced Hierarchical Context Fusion Network (UHCFNet), which uses seismic unconformity attribute to increase the accuracy of seismic facies classification and reduce the ...

The University of Alabama at Birmingham Spinal Cord Injury Model System (UAB-SCIMS) maintains this Information Network as a resource to promote knowledge in the areas of research, health and quality ...

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with ...

Moreover, models combining global and local features have shown ... To tackle these issues, we introduce a Patches Enhancement and hierarchical Fusion Network (PEFN) based on a multi-branch ...

Fitting hierarchical computational models to behavioral data using the Expectation-Maximization (EM) algorithm. - krkulkarni/emlib Skip to content Navigation Menu ...

[1] Abdelrahman Abdelhamed, Lin S., Brown M. S. A High-Quality Denoising Dataset for Smartphone Cameras. CVPR, 2018. [2] T. Plotz, and S. Roth. Benchmarking denoising algorithms with real photographs.

The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and robotics. These models, mirroring the human brain's complexity and ...