generalized Gauss Markov random field; GNN, Graph Neural Network; Grad CAM, Gradient weighted Class Activation Mapping; HPG, histogram of polar gradient; IG, integrated gradient; IHC, ...
The most flexible way of fitting a t or Laplace residual distribution in a linear or nonlinear model is via a Bayesian Markov chain Monte Carlo (MCMC) analysis. After priors are elicited, the three ...
PHYS 2210 - Physics for Scientists and Engineers I, Fall 2023 PHYS 2210 - Physics for Scientists and Engineers I, Fall 2023 PHYS 2210 - Physics for Scientists and ...
2024-03-31 Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey Qijiong Liu et.al. 2404.00621 null 2024-03-30 SA-LSPL:Sequence-Aware Long- and Short- Term Preference ...
Earlier this month the Mathematics Institute at Uppsala University hosted a conference called Categorification in Algebra and Topology, clearly a theme close to our collective heart. As yet there are ...
Centre for Vision, Speech and Signal Processing (CVSSP), School of Computer Science and Electronic Engineering. Richard Bowden is Professor of Computer Vision and Machine Learning at the University of ...