Sequential randomized matrix factorization for Gaussian processes. - Shaunak D. Bopardikar; George S. Eskander Ekladious (IEEE BigData, 2016)

Towards scalable kernel machines for streaming data analytics. - Shaunak D. Bopardikar; George S. Eskander Ekladious (IEEE BigData, 2017)

Sequential Randomized Matrix Factorization for Gaussian Processes: Efficient Predictions and Hyper-parameter Optimization. - Shaunak D. Bopardikar; George S. Eskander Ekladious (CoRR, 2017)

Learning Global-Local Distance Metrics for Signature-Based Biometric Cryptosystems. - George S. Eskander Ekladious; Robert Sabourin; Eric Granger (Cryptogr., 2017)

Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification. - Djebril Mekhazni; Amran Bhuiyan; George S. Eskander Ekladious; Eric Granger (ECCV (27), 2020)

Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video Face Recognition. - George S. Eskander Ekladious; Hugo Lemoine; Eric Granger; Kaveh Kamali; Salim Moudache (IJCNN, 2020)

Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition. - George S. Eskander Ekladious; Hugo Lemoine; Eric Granger; Kaveh Kamali; Salim Moudache (CoRR, 2020)