A Constrained EM Algorithm for Principal Component Analysis. - Jong-Hoon Ahn; Jong-Hoon Oh (Neural Comput., 2003)

A new way of PCA: integrated-squared-error and EM algorithms. - Jong-Hoon Ahn; Seungjin Choi; Jong-Hoon Oh (ICASSP (5), 2004)

A multiplicative up-propagation algorithm. - Jong-Hoon Ahn; Seungjin Choi; Jong-Hoon Oh (ICML, 2004)

Iterative Projection Approximation Algorithms for PCA. - Seungjin Choi; Jong-Hoon Ahn; Andrzej Cichocki (ICASSP (5), 2006)

Constrained Projection Approximation Algorithms for Principal Component Analysis. - Seungjin Choi; Jong-Hoon Ahn; Andrzej Cichocki (Neural Process. Lett., 2006)

Learning principal directions: Integrated-squared-error minimization. - Jong-Hoon Ahn; Jong-Hoon Oh; Seungjin Choi (Neurocomputing, 2007)

Online Character Recognition Using Elastic Curvature Matching. - Jong-Hoon Ahn; Jihyun Lee; Jinsu Jo; Yon-Ha Choi; Yillbyung Lee (ICAPR, 2009)

A Linear Transformation Approach for Estimating Pulse Arrival Time. - Dohyun Kim; Jong-Hoon Ahn; Jongshill Lee; Hoon Ki Park; In-Young Kim (J. Appl. Math., 2012)

Learning the Dynamics of Objects by Optimal Functional Interpolation. - Jong-Hoon Ahn; In-Young Kim (Neural Comput., 2012)

Fast Adaptive Robust Subspace Tracking for Online Background Subtraction. - Jong-Hoon Ahn (ICPR, 2014)

Compressive Sensing and Recovery for Binary Images. - Jong-Hoon Ahn (IEEE Trans. Image Process., 2016)

Architecture and Noise Analysis for Block-Based Compressive Imaging. - Jong-Hoon Ahn; Hong Jiang 002 (ICIP, 2018)

Lipschitz Learning for Signal Recovery. - Hong Jiang 002; Jong-Hoon Ahn; Xiaoyang Wang (CoRR, 2019)

Data-Driven Continuum Dynamics via Transport-Teleport Duality. - Jong-Hoon Ahn (CoRR, 2020)

A Linear Algebraic Framework for Counterfactual Generation. - Jong-Hoon Ahn; Akshay Vashist (ICLR, 2024)

Gaussian Mixture Counterfactual Generator. - Jong-Hoon Ahn; Akshay Vashist (ICLR, 2025)