Name
Papers
Collaborators
YUNG-KYUN NOH
23
38
Citations 
PageRank 
Referers 
39
8.62
155
Referees 
References 
457
223
Search Limit
100457
Title
Citations
PageRank
Year
Autoencoding Under Normalization Constraints00.342021
Efficient neural network compression via transfer learning for machine vision inspection10.342020
A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization.00.342019
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning.00.342018
Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis.00.342018
K-Beam Subgradient Descent for Minimax Optimization.10.342018
Nearest Neighbor Density Functional Estimation From Inverse Laplace Transform00.342018
Generative Local Metric Learning for Kernel Regression.10.342017
Motion planning with movement primitives for cooperative aerial transportation in obstacle environment.10.392017
Direct Density Derivative Estimation.10.352016
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation.00.342015
Scalable Iterative Algorithm for Robust Subspace Clustering.00.342015
Reward Shaping For Model-Based Bayesian Reinforcement Learning10.362015
Molecular learning with DNA kernel machines00.342015
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence.00.342014
k-Nearest Neighbor Classification Algorithm for Multiple Choice Sequential Sampling.00.342013
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification.10.352012
Learning Discriminative Metrics via Generative Models and Kernel Learning20.392011
Fluid Dynamics Models for Low Rank Discriminant Analysis00.342010
Generative Local Metric Learning for Nearest Neighbor Classification270.902010
Fluid Dynamics Models for Low Rank Discriminant Analysis00.342010
An evolutionary Monte Carlo algorithm for predicting DNA hybridization30.452008
Regularized Discriminant Analysis For Transformation-Invariant Object Recognition00.342008