Search Results for author:
Found 6 papers, 3 papers with code
Anomaly Detection with Selective Dictionary Learning
In this paper we present new methods of anomaly detection based on Dictionary Learning (DL) and Kernel Dictionary Learning (KDL).
Reduced Kernel Dictionary Learning
In this paper we present new algorithms for training reduced-size nonlinear representations in the Kernel Dictionary Learning (KDL) problem.
Classification with Incoherent Kernel Dictionary Learning
In this paper we present a new classification method based on Dictionary Learning (DL).
Kernel t-distributed stochastic neighbor embedding
This paper presents a kernelized version of the t-SNE algorithm, capable of mapping high-dimensional data to a low-dimensional space while preserving the pairwise distances between the data points in a non-Euclidean metric.
Deep recommender engine based on efficient product embeddings neural pipeline
Predictive analytics systems are currently one of the most important areas of research and development within the Artificial Intelligence domain and particularly in Machine Learning.
Overcomplete Dictionary Learning with Jacobi Atom Updates
Dictionary learning for sparse representations is traditionally approached with sequential atom updates, in which an optimized atom is used immediately for the optimization of the next atoms.
