10 citations · 20 across the 4 of their papers we have counts for
4 papers
Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection
Gaurav Srivastava, Mahesh Jangid
The complexity of high-dimensional datasets presents significant challenges for machine learning models, including overfitting, computational complexity, and difficulties in interp…
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components
Soumyabrata Pal, Prateek Varshney, Prateek Jain +5
Personalization of machine learning (ML) predictions for individual users/domains/enterprises is critical for practical recommendation systems. Standard personalization approaches…
Training and challenging models for text-guided fashion image retrieval
Eric Dodds, Jack Culpepper, Gaurav Srivastava
Retrieving relevant images from a catalog based on a query image together with a modifying caption is a challenging multimodal task that can particularly benefit domains like appar…
An Analysis of Random Projections in Cancelable Biometrics
Devansh Arpit, Ifeoma Nwogu, Gaurav Srivastava +1
With increasing concerns about security, the need for highly secure physical biometrics-based authentication systems utilizing \emph{cancelable biometric} technologies is on the ri…