Search Results for author:
Found 5 papers, 2 papers with code
SLYKLatent, a Learning Framework for Facial Features Estimation
In this research, we present SLYKLatent, a novel approach for enhancing gaze estimation by addressing appearance instability challenges in datasets due to aleatoric uncertainties, covariant shifts, and test domain generalization.
Lazy FSCA for Unsupervised Variable Selection
In this paper a "lazy" implementation of the FSCA algorithm (L-FSCA) is proposed, which, although not equivalent to FSCA due to the absence of submodularity, has the potential to yield comparable performance while being up to an order of magnitude faster to compute.
Material Measurement Units for a Circular Economy: Foundations through a Review
Long-term availability of minerals and industrial materials is a necessary condition for sustainable development as they are the constituents of any manufacturing product.
Recovery of Linear Components: Reduced Complexity Autoencoder Designs
Reducing dimensionality is a key preprocessing step in many data analysis applications to address the negative effects of the curse of dimensionality and collinearity on model performance and computational complexity, to denoise the data or to reduce storage requirements.
An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training
Motivated by the potential for parallel implementation of batch-based algorithms and the accelerated convergence achievable with approximated second order information a limited memory version of the BFGS algorithm has been receiving increasing attention in recent years for large neural network training problems.
