86 citations · 101 across the 5 of their papers we have counts for
5 papers
Minutiae-Guided Fingerprint Embeddings via Vision Transformers
Steven A. Grosz, Joshua J. Engelsma, Rajeev Ranjan +4
Minutiae matching has long dominated the field of fingerprint recognition. However, deep networks can be used to extract fixed-length embeddings from fingerprints. To date, the few…
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
Shu Hu, Chun-Hao Liu, Jayanta Dutta +3
Semi-supervised object detection methods are widely used in autonomous driving systems, where only a fraction of objects are labeled. To propagate information from the labeled obje…
Deep Symbolic Representation Learning for Heterogeneous Time-series Classification
Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan +1
In this paper, we consider the problem of event classification with multi-variate time series data consisting of heterogeneous (continuous and categorical) variables. The complex t…
Universum Learning for Multiclass SVM
Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky +1
We introduce Universum learning for multiclass problems and propose a novel formulation for multiclass universum SVM (MU-SVM). We also propose a span bound for MU-SVM that can be u…
Comparative Study of Deep Learning Software Frameworks
Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott +1
Deep learning methods have resulted in significant performance improvements in several application domains and as such several software frameworks have been developed to facilitate…