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12/09/2021
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation
Iris segmentation and localization in unconstrained environments is chal...
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07/23/2020
Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles
The growing demand for key healthcare resources such as clinical experti...
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09/16/2019
Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data
We address the problem of learning to benchmark the best achievable clas...
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10/01/2018
Convergence Rates for Empirical Estimation of Binary Classification Bounds
Bounding the best achievable error probability for binary classification...
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01/27/2018
Scalable Mutual Information Estimation using Dependence Graphs
We propose a unified method for empirical non-parametric estimation of g...
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01/01/2018
Scalable Hash-Based Estimation of Divergence Measures
We propose a scalable divergence estimation method based on hashing. Con...
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02/17/2017
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios
We propose a direct estimation method for Rényi and f-divergence measure...
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09/13/2016
