Taehoon Lee

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All published works
Action Title Year Authors
+ PDF Chat Constant Acceleration Flow 2024 Da-Hoon Park
Sojin Lee
Sihyeon Kim
Taehoon Lee
Youngjoon Hong
Hyunwoo J. Kim
+ DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition 2024 Hyunju Kim
Geon Kim
Taehoon Lee
Ki-Soo Kim
Dongman Lee
+ Follow the flow: Proximal flow inspired multi-step methods 2022 Yushen Huang
Taehoon Lee
Yifan Sun
+ Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation 2021 Jin-Hwa Kim
Do-Hyeong Kim
Saehoon Yi
Taehoon Lee
+ Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction 2017 A. S. Yoon
Taehoon Lee
Yongsub Lim
Deokwoo Jung
Philgyun Kang
Dong-Won Kim
Keuntae Park
Yong‐Jin Choi
+ PDF Chat Regularization and Kernelization of the Maximin Correlation Approach 2016 Taehoon Lee
Taesup Moon
Seung Jean Kim
Sungroh Yoon
+ Manifold Regularized Deep Neural Networks using Adversarial Examples 2015 Taehoon Lee
Minsuk Choi
Sungroh Yoon
+ High-Dimensional Fused Lasso Regression Using Majorization–Minimization and Parallel Processing 2015 Donghyeon Yu
Joong‐Ho Won
Taehoon Lee
Johan Lim
Sungroh Yoon
+ High-Dimensional Fused Lasso Regression Using Majorization–Minimization and Parallel Processing 2015 Donghyeon Yu
Joong‐Ho Won
Taehoon Lee
Johan Lim
Sungroh Yoon
+ PDF Chat High-Dimensional Fused Lasso Regression Using Majorization–Minimization and Parallel Processing 2014 Donghyeon Yu
Joong‐Ho Won
Taehoon Lee
Johan Lim
Sungroh Yoon
+ High-dimensional Fused Lasso Regression using Majorization-Minimization and Parallel Processing 2013 Donghyeon Yu
Joong‐Ho Won
Taehoon Lee
Johan Lim
Sungroh Yoon
+ Uncertainty quantification in spent fuel assay 2011 Thomas Burr
Jeremy Conlin
Janwei Hu
Adrienne M Lafleur
H.O. Menlove
Melissa A Schear
Martyn T Swinhoe
Stephen J Tobin
Holly Trellue
Taehoon Lee
+ PDF Chat Uncertainty quantification in spent fuel assay 2011 Thomas Burr
Jeremy Conlin
Janwei Hu
Adrienne M Lafleur
H.O. Menlove
Melissa A Schear
Martyn T Swinhoe
Stephen J Tobin
Holly Trellue
Taehoon Lee
+ U(1) GAUGE SYMMETRY BREAKING IN A CHARGED CLOSED UNIVERSE 1990 Jihn E. Kim
Taehoon Lee
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Optimization Transfer Using Surrogate Objective Functions 2000 Kenneth Lange
David R. Hunter
Ilsoon Yang
2
+ PDF Chat Split Bregman method for large scale fused Lasso 2010 Gui–Bo Ye
Xiaohui Xie
2
+ USER’S GUIDE FOR SNOPT 5.3: A FORTRAN PACKAGE FOR LARGE-SCALE NONLINEAR PROGRAMMING 2002 Philip E. Gill
Walter Murray
Michael A. Saunders
2
+ Smoothing proximal gradient method for general structured sparse regression 2012 Xi Chen
Qihang Lin
Se Young Kim
Jaime G. Carbonell
Eric P. Xing
2
+ PDF Chat An Efficient Parallel Algorithm for the Solution of a Tridiagonal Linear System of Equations 1973 Harold S. Stone
2
+ PDF Chat Sparse regression with exact clustering 2010 Yiyuan She
2
+ Nonlinear Programming: A Unified Approach 1972 David W. Peterson
Willard I. Zangwill
2
+ Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization 2001 P. Tseng
2
+ PDF Chat Pathwise coordinate optimization 2007 Jerome H. Friedman
Trevor Hastie
Holger Höfling
Robert Tibshirani
2
+ Multiplier and gradient methods 1969 Magnus R. Hestenes
2
+ PDF Chat A Path Algorithm for the Fused Lasso Signal Approximator 2010 Hölger Hoefling
2
+ PDF Chat Least angle regression 2004 Bradley Efron
Trevor Hastie
Iain M. Johnstone
Robert Tibshirani
2
+ A dual approach to solving nonlinear programming problems by unconstrained optimization 1973 R. T. Rockafellar
2
+ A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems 2009 Amir Beck
Marc Teboulle
2
+ An efficient algorithm for a class of fused lasso problems 2010 Jun Liu
Lei Yuan
Jieping Ye
2
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
2
+ Alternating linearization for structured regularization problems 2014 X. Sheldon Lin
Minh Pham
Andrzej RuszczyƄski
2
+ PDF Chat Sparsity and Smoothness Via the Fused Lasso 2004 Robert Tibshirani
Michael A. Saunders
Saharon Rosset
Ji Zhu
Keith Knight
2
+ Pairwise Fused Lasso 2011 Sebastian Petry
Claudia Flexeder
Gerhard Tutz
2
+ Gradient methods for minimizing composite objective function 2007 Yu. Nesterov
2
+ PDF Chat Smooth minimization of non-smooth functions 2004 Yu. Nesterov
2
+ PDF Chat Variable selection using MM algorithms 2005 David R. Hunter
Runze Li
2
+ PDF Chat The solution path of the generalized lasso 2011 Ryan J. Tibshirani
Jonathan Taylor
2
+ Introductory Lectures on Convex Optimization: A Basic Course 2014 Đź Е ĐĐ”ŃŃ‚Đ”Ń€ĐŸĐČ
2
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ Principal Component Analysis 2005 Ian T. Jolliffe
1
+ Applications of second-order cone programming 1998 Miguel Sousa Lobo
Lieven Vandenberghe
Stephen Boyd
Hervé Lebret
1
+ PDF Chat Graphics Processing Units and High-Dimensional Optimization 2010 Hua Zhou
Kenneth Lange
Marc A. Suchard
1
+ PDF Chat An Interior-Point Method for Semidefinite Programming 1996 Christoph Helmberg
Franz Rendl
Robert J. Vanderbei
Henry Wolkowicz
1
+ Interior Point Methods of Mathematical Programming 1997 T Talaky
1
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
1
+ PDF Chat Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation 2021 Jihun Yi
Sungroh Yoon
1
+ One-Class Classification: A Survey 2021 Pramuditha Perera
Poojan Oza
Vishal M. Patel
1
+ PDF Chat Deep Learning for Anomaly Detection 2021 Guansong Pang
Chunhua Shen
Longbing Cao
Anton van den Hengel
1
+ PDF Chat Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices 2013 Sadeep Jayasumana
Richard Hartley
Mathieu Salzmann
Hongdong Li
Mehrtash Harandi
1
+ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar GĂŒlçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
1
+ PDF Chat Representation Learning: A Review and New Perspectives 2013 Yoshua Bengio
Aaron Courville
P. M. Durai Raj Vincent
1
+ Improving neural networks by preventing co-adaptation of feature detectors 2012 Geoffrey E. Hinton
Nitish Srivastava
Alex Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
1
+ Semi-Supervised Learning with Ladder Networks 2015 Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
Tapani Raiko
1
+ Stochastic Pooling for Regularization of Deep Convolutional Neural Networks 2013 Matthew D. Zeiler
Rob Fergus
1
+ PDF Chat Deep neural networks are easily fooled: High confidence predictions for unrecognizable images 2015 Anh‐Tu Nguyen
Jason Yosinski
Jeff Clune
1
+ Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones 1999 J.F. Sturm
1
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
1
+ PARAMETER CONVERGENCE FOR EM AND MM ALGORITHMS 2005 Florin Vaida
1
+ A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters 1973 J. C. Dunn
1
+ PDF Chat Local Naive Bayes Nearest Neighbor for image classification 2012 Shawn McCann
David Lowe
1
+ XVI. Functions of positive and negative type, and their connection the theory of integral equations 1909 James W. Mercer
1
+ Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder 2016 Pankaj Malhotra
Vishnu Tv
Anusha Ramakrishnan
Gaurangi Anand
Lovekesh Vig
Puneet Agarwal
Gautam Shroff
1
+ Deep Learning and Its Applications to Machine Health Monitoring: A Survey 2016 Rui Zhao
Ruqiang Yan
Zhenghua Chen
Kezhi Mao
Peng Wang
Robert X. Gao
1
+ Nonlinear Programming: A Unified Approach. 1970 E. M. L. Beale
Willard I. Zangwill
1