Seungjin Choi - RankMe

240 papers A* 21A 14B 26C 6Misc 22Journal 85Unranked 61

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages. Comput. Biol. Medicine Tong Min Kim, Junhyeok Son, Ji-Won Chun, Youngrong Lee, Dai-Jin Kim, In-Young Choi, Taehoon Ko, Seungjin Choi
2023	J	`jnl`	BayesO: A Bayesian optimization framework in Python. J. Open Source Softw. Jungtaek Kim, Seungjin Choi
2022	A	`conf`	Combinatorial Bayesian optimization with random mapping functions to convex polytopes. UAI Jungtaek Kim, Seungjin Choi, Minsu Cho
2022	J	`jnl`	Discrete Infomax Codes for Supervised Representation Learning. Entropy Yoonho Lee, Wonjae Kim, Wonpyo Park, Seungjin Choi
2022	A	`conf`	On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. AISTATS Jungtaek Kim, Seungjin Choi
2022	J	`jnl`	On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. CoRR Jungtaek Kim, Seungjin Choi
2022	—	`conf`	Point Cloud-Based Lane Detection for Optimal Local Path Planning. ICEIC Seungjin Choi, Dohun Kim, Sanghyun Park, Joonki Paik
2021	J	`jnl`	Bayesian optimization with approximate set kernels. Mach. Learn. Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
2021	—	`conf`	Meta-learning: Towards Fast Adaptation in Multi-Subject EEG Classification. BCI Seungjin Choi
2020	J	`jnl`	Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope. CoRR Jungtaek Kim, Minsu Cho, Seungjin Choi
2020	J	`jnl`	Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning. IEEE Access Fengkai Ke, Seungjin Choi, Young Ho Kang, Keun-Ah Cheon, Sang Wan Lee
2020	A*	`conf`	Neural Complexity Measures. NeurIPS Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2020	J	`jnl`	Neural Complexity Measures. CoRR Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2020	—	`conf`	On Local Optimizers of Acquisition Functions in Bayesian Optimization. ECML/PKDD (2) Jungtaek Kim, Seungjin Choi
2020	B	`conf`	Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. ICPR Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi
2020	J	`jnl`	Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. CoRR Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi
2019	A	`conf`	A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. AISTATS Juho Lee, Lancelot F. James, Seungjin Choi, Francois Caron
2019	J	`jnl`	Bayesian Optimization over Sets. CoRR Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
2019	J	`jnl`	Discrete Infomax Codes for Meta-Learning. CoRR Yoonho Lee, Wonjae Kim, Seungjin Choi
2019	C	`conf`	Forward-Backward Generative Adversarial Networks for Anomaly Detection. ACML Youngnam Kim, Seungjin Choi
2019	J	`jnl`	MxML: Mixture of Meta-Learners for Few-Shot Classification. CoRR Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi
2019	J	`jnl`	Novel MIMO Detection With Improved Complexity for Near-ML Detection in MIMO-OFDM Systems. IEEE Access Seungjin Choi, Seong-Joon Shim, Young-Hwan You, Jaesang Cha, Hyoung-Kyu Song
2019	J	`jnl`	On Local Optimizers of Acquisition Functions in Bayesian Optimization. CoRR Jungtaek Kim, Seungjin Choi
2019	J	`jnl`	Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization. CoRR Jungtaek Kim, Seungjin Choi
2019	A*	`conf`	Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. ICML Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
2019	J	`jnl`	The latent learning model to derive semantic relations of words from unstructured text data in social media. Multim. Tools Appl. Jiwan Seo, Karam Yoo, Seungjin Choi, Yura Alex Kim, SangYong Han
2018	J	`jnl`	A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. CoRR Juho Lee, Lancelot F. James, Seungjin Choi, François Caron
2018	Misc	`conf`	Clustering-Guided Gp-Ucb for Bayesian Optimization. ICASSP Jungtaek Kim, Seungjin Choi
2018	A*	`conf`	Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace. ICML Yoonho Lee, Seungjin Choi
2018	J	`jnl`	Meta-Learning with Adaptive Layerwise Metric and Subspace. CoRR Yoonho Lee, Seungjin Choi
2018	A*	`conf`	On the Optimal Bit Complexity of Circulant Binary Embedding. AAAI Saehoon Kim, Jungtaek Kim, Seungjin Choi
2018	Misc	`conf`	Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks. ICASSP Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, Seungjin Choi
2018	J	`jnl`	Selectively Iterative Detection Scheme Based on the Residual Power in MIMO-OFDM. IEICE Trans. Commun. Jong-Kwang Kim, Seungjin Choi, Young-Hwan You, Hyoung-Kyu Song
2018	J	`jnl`	Set Transformer. CoRR Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
2018	J	`jnl`	Sparse Circulant Binary Embedding: An Asymptotic Analysis. IEEE Signal Process. Lett. Saehoon Kim, Seungjin Choi
2018	J	`jnl`	Word embedding-based relation modeling in a heterogeneous information network. Multim. Tools Appl. Jiwan Seo, Seungjin Choi, Yura Alex Kim, Karam Yoo, SangYong Han
2017	J	`jnl`	Adaptive IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Jong-Kwang Kim, Seungjin Choi, Jae-Hyun Ro, Hyoung-Kyu Song
2017	A*	`conf`	Bayesian inference on random simple graphs with power law degree distributions. ICML Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi
2017	A*	`conf`	Binary Embedding with Additive Homogeneous Kernels. AAAI Saehoon Kim, Seungjin Choi
2017	J	`jnl`	Chrological Big data Curation: A Study on the Enhanced Information Retrieval System. IEEE Access Seungjin Choi, Jiwan Seo, Mucheol Kim, Sunghyun Kang, SangYong Han
2017	J	`jnl`	Lattice-Reduction Aided Signal Detection Method with Switching Detection Based on Channel Condition. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Seungjin Choi, Jong-Kwang Kim, Hyoung-Kyu Song
2017	J	`jnl`	Learning to Transfer Initializations for Bayesian Hyperparameter Optimization. CoRR Jungtaek Kim, Saehoon Kim, Seungjin Choi
2016	J	`jnl`	A robust ensemble-based trust and reputation system against different types of intruder attacks. Int. J. Comput. Math. Jiwan Seo, Seungjin Choi, Mucheol Kim, SangYong Han
2016	B	`conf`	Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors. IJCNN Sojeong Ha, Seungjin Choi
2016	B	`conf`	Echo-state conditional variational autoencoder for anomaly detection. IJCNN Suwon Suh, Daniel H. Chae, Hyon-Goo Kang, Seungjin Choi
2016	—	`conf`	Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models. NIPS Juho Lee, Lancelot F. James, Seungjin Choi
2016	B	`conf`	Frequency detection for SSVEP-based BCI using deep canonical correlation analysis. SMC Hanh Vu, Bonkon Koo, Seungjin Choi
2016	J	`jnl`	Gaussian Copula Variational Autoencoders for Mixed Data. CoRR Suwon Suh, Seungjin Choi
2016	A*	`conf`	Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CVPR Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi
2016	—	`conf`	Motor imagery detection with wavelet analysis for NIRS-based BCI. BCI Bonkon Koo, Hanh Vu, Hwan-Gon Lee, Hyung-Cheul Shin, Seungjin Choi
2016	J	`jnl`	Prediction and Predictability for Search Query Acceleration. ACM Trans. Web Seung-won Hwang, Saehoon Kim, Yuxiong He, Sameh Elnikety, Seungjin Choi
2016	Misc	`conf`	Two-dimensional correlated topic models. ICASSP Suwon Suh, Seungjin Choi
2015	A	`conf`	Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. AISTATS Juho Lee, Seungjin Choi
2015	J	`jnl`	Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. CoRR Juho Lee, Seungjin Choi
2015	J	`jnl`	Bilinear Random Projections for Locality-Sensitive Binary Codes. CoRR Saehoon Kim, Seungjin Choi
2015	A*	`conf`	Bilinear random projections for locality-sensitive binary codes. CVPR Saehoon Kim, Seungjin Choi
2015	A	`conf`	Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search. WSDM Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi
2015	—	`conf`	Immersive BCI with SSVEP in VR head-mounted display. EMBC Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, Seungjin Choi
2015	—	`ch.`	Independent Component Analysis. Encyclopedia of Biometrics Seungjin Choi
2015	J	`jnl`	Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CoRR Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi
2015	B	`conf`	Multi-modal Convolutional Neural Networks for Activity Recognition. SMC Sojeong Ha, Jeong-Min Yun, Seungjin Choi
2015	—	`conf`	Multi-subject EEG classification: Bayesian nonparametrics and multi-task learning. BCI Seungjin Choi
2015	A	`conf`	Near Duplicate Image Discovery on One Billion Images. WACV Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi
2015	B	`conf`	Pseudo-Supervised Latent Dirichlet Allocation for Image Annotation. SMC Huong Thi Pham, Seungjin Choi
2015	J	`jnl`	Regularized discriminant embedding for visual descriptor learning. Neurocomputing Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi
2015	—	`conf`	SSVEP response on Oculus Rift. BCI Bonkon Koo, Seungjin Choi
2015	J	`jnl`	Subspace clustering of data streams: new algorithms and effective evaluation measures. J. Intell. Inf. Syst. Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
2015	—	`ch.`	Supervised Learning. Encyclopedia of Biometrics Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi
2015	—	`conf`	Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. NIPS Juho Lee, Seungjin Choi
2015	J	`jnl`	Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. CoRR Juho Lee, Seungjin Choi
2014	—	`conf`	A hybrid EOG-P300 BCI with dual monitors. BCI Bonkon Koo, Yunjun Nam, Seungjin Choi
2014	A	`conf`	Bayesian binomial mixture model for collaborative prediction with non-random missing data. RecSys Yong-Deok Kim, Seungjin Choi
2014	J	`jnl`	Bayesian common spatial patterns for multi-subject EEG classification. Neural Networks Hyohyeong Kang, Seungjin Choi
2014	A	`conf`	Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. SDM Sunho Park, Taehyun Hwang, Seungjin Choi
2014	J	`jnl`	Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. CoRR Sunho Park, Taehyun Hwang, Seungjin Choi
2014	B	`conf`	Dependent stotchastic blockmodels. IJCNN Eunsil Gim, Sojeong Ha, Seungjin Choi
2014	J	`jnl`	GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control. IEEE Trans. Biomed. Eng. Yunjun Nam, Bonkon Koo, Andrzej Cichocki, Seungjin Choi
2014	A	`conf`	Incremental Tree-Based Inference with Dependent Normalized Random Measures. AISTATS Juho Lee, Seungjin Choi
2014	J	`jnl`	Inference of dynamic networks using time-course data. Briefings Bioinform. Yongsoo Kim, Seungmin Han, Seungjin Choi, Daehee Hwang
2014	J	`jnl`	Label propagation through minimax paths for scalable semi-supervised learning. Pattern Recognit. Lett. Kye-Hyeon Kim, Seungjin Choi
2014	B	`conf`	Language-related glossokinetic potentials on scalp. SMC Yunjun Nam, Bonkon Koo, Seungjin Choi
2014	B	`conf`	Learning features with structure-adapting multi-view exponential family harmoniums. IJCNN Yoonseop Kang, Taewoong Jang, Seungjin Choi
2014	—	`conf`	POSTECH BCIs with machine learning. BCI Seungjin Choi
2014	A	`conf`	Scalable Variational Bayesian Matrix Factorization with Side Information. AISTATS Yong-Deok Kim, Seungjin Choi
2014	B	`conf`	Semi-supervised Learning on Bi-relational Graph for Image Annotation. ICPR Hien Duy Pham, Kye-Hyeon Kim, Seungjin Choi
2014	—	`conf`	Spatial patterns of SSSEP under the selective attention to tactile stimuli in each hand. BCI Yunjun Nam, Bonkon Koo, Seungjin Choi
2014	Misc	`conf`	Supervised multi-modal topic model for image annotation. ICASSP Thu Hoai Tran, Seungjin Choi
2014	J	`jnl`	TEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information. Bioinform. Yongsoo Kim, Jin-Hyeok Jang, Seungjin Choi, Daehee Hwang
2013	—	`conf`	Bayesian common spatial patterns. BCI Hyohyeong Kang, Seungjin Choi
2013	Misc	`conf`	Bayesian multi-subject common spatial patterns with Indian Buffet process priors. ICASSP Hyohyeong Kang, Seungjin Choi
2013	—	`conf`	Brand-Centric Recommendation with Inter-brand Similarities. ICONIP (2) Hyojung Shin, Seungjin Choi
2013	—	`conf`	Common spatial patterns for steady-state somatosensory evoked potentials. EMBC Yunjun Nam, Andrzej Cichocki, Seungjin Choi
2013	—	`conf`	Effective Evaluation Measures for Subspace Clustering of Data Streams. PAKDD Workshops Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
2013	A*	`conf`	Hierarchical Bayesian Matrix Factorization with Side Information. IJCAI Sunho Park, Yong-Deok Kim, Seungjin Choi
2013	—	`conf`	Learning Features with Structure-Adapting Multi-view Exponential Family Harmoniums ICLR (Workshop Poster) Yoonseop Kang, Seungjin Choi
2013	J	`jnl`	Max-margin embedding for multi-label learning. Pattern Recognit. Lett. Sunho Park, Seungjin Choi
2013	Misc	`conf`	Multi-view anchor graph hashing. ICASSP Saehoon Kim, Seungjin Choi
2013	Misc	`conf`	Online multi-label learning with accelerated nonsmooth stochastic gradient descent. ICASSP Sunho Park, Seungjin Choi
2013	J	`jnl`	Parameter Learning for Alpha Integration. Neural Comput. Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
2013	—	`conf`	Regularized Discriminant Embedding for Visual Descriptor Learning ICLR (Workshop Poster) Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi
2013	B	`conf`	Robust part-based face matching with multiple templates. FG Kye-Hyeon Kim, Cha Zhang, Zhengyou Zhang, Seungjin Choi
2013	—	`conf`	Stacked Denoising Autoencoders for Face Pose Normalization. ICONIP (3) Yoonseop Kang, Kang-Tae Lee, Jihyun Eun, Sung Eun Park, Seungjin Choi
2013	J	`jnl`	The Method of Personalized Recommendation with Ensemble Combination. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. Jiwan Seo, Seungjin Choi, Mucheol Kim, SangYong Han
2013	—	`conf`	The Method of Trust and Reputation Systems Based on Link Prediction and Clustering. IFIPTM Jiwan Seo, Seungjin Choi, SangYong Han
2013	J	`jnl`	Variational Bayesian View of Weighted Trace Norm Regularization for Matrix Factorization. IEEE Signal Process. Lett. Yong-Deok Kim, Seungjin Choi
2013	A*	`conf`	Walking on Minimax Paths for k-NN Search. AAAI Kye-Hyeon Kim, Seungjin Choi
2012	B	`conf`	Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification. IJCNN Hyohyeong Kang, Seungjin Choi
2012	—	`conf`	Bayesian common spatial patterns with Pitman-Yor process priors. EUSIPCO Hyohyeong Kang, Seungjin Choi
2012	A*	`conf`	Deep Learning to Hash with Multiple Representations. ICDM Yoonseop Kang, Saehoon Kim, Seungjin Choi
2012	A*	`conf`	Hashing with Generalized Nyström Approximation. ICDM Jeong-Min Yun, Saehoon Kim, Seungjin Choi
2012	Misc	`conf`	Hierarchical variational Bayesian matrix co-factorization. ICASSP Jiho Yoo, Seungjin Choi
2012	—	`ch.`	Independent Component Analysis. Handbook of Natural Computing Seungjin Choi
2012	—	`conf`	Online Video Segmentation by Bayesian Split-Merge Clustering. ECCV (4) Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi
2012	A*	`conf`	Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes. AAAI Hyohyeong Kang, Seungjin Choi
2012	B	`conf`	Self-labeling for P300 detection. SMC Sangmin Lee, Yunjun Nam, Seungjin Choi
2012	—	`conf`	Sequential Spectral Learning to Hash with Multiple Representations. ECCV (5) Saehoon Kim, Yoonseop Kang, Seungjin Choi
2012	J	`jnl`	Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface. IEEE Trans. Biomed. Eng. Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi
2011	—	`conf`	Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound. ECML/PKDD (3) Jiho Yoo, Seungjin Choi
2011	—	`conf`	Bayesian Multi-task Learning for Common Spatial Patterns. PRNI Hyohyeong Kang, Seungjin Choi
2011	Misc	`conf`	Geometric programming for aggregation of binary classifiers. ICASSP Sunho Park, Seungjin Choi
2011	J	`jnl`	Manifold-respecting discriminant nonnegative matrix factorization. Pattern Recognit. Lett. Shounan An, Jiho Yoo, Seungjin Choi
2011	A*	`conf`	Matrix Co-Factorization on Compressed Sensing. IJCAI Jiho Yoo, Seungjin Choi
2011	Misc	`conf`	Multiple kernel nonnegative matrix factorization. ICASSP Shounan An, Jeong-Min Yun, Seungjin Choi
2011	J	`jnl`	Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation. IEEE J. Sel. Top. Signal Process. Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi
2011	—	`conf`	Nyström Approximations for Scalable Face Recognition: A Comparative Study. ICONIP (2) Jeong-Min Yun, Seungjin Choi
2011	—	`conf`	Patch-based Markov random fields for fast face occlusion recovery. MLSP Jeong-Min Yun, Seungjin Choi
2011	J	`jnl`	Principal network analysis: identification of subnetworks representing major dynamics using gene expression data. Bioinform. Yongsoo Kim, Taek-Kyun Kim, Yungu Kim, Jiho Yoo, Sungyong You, Inyoul Y. Lee, George Carlson, Leroy Hood, Seungjin Choi, Daehee Hwang
2011	J	`jnl`	Probabilistic Models for Semisupervised Discriminative Motif Discovery in DNA Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. Jong Kyoung Kim, Seungjin Choi
2011	—	`conf`	Restricted Deep Belief Networks for Multi-view Learning. ECML/PKDD (2) Yoonseop Kang, Seungjin Choi
2011	A*	`conf`	Semi-supervised Discriminant Hashing. ICDM Saehoon Kim, Seungjin Choi
2010	—	`conf`	A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. ICONIP (2) Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi
2010	Misc	`conf`	Alpha-integration of multiple evidence. ICASSP Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe
2010	A*	`conf`	Bayesian Aggregation of Binary Classifiers. ICDM Sunho Park, Seungjin Choi
2010	Misc	`conf`	Blind rhythmic source separation: Nonnegativity and repeatability. ICASSP Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi
2010	C	`conf`	Hierarchical Gaussian Process Regression. ACML Sunho Park, Seungjin Choi
2010	Misc	`conf`	Learning alpha-integration with partially-labeled data. ICASSP Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe
2010	B	`conf`	Manifold Alpha-Integration. PRICAI Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe
2010	J	`jnl`	Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation. Aust. J. Intell. Inf. Process. Syst. Yunjun Nam, Hyohyeong Kang, Qibin Zhao, Andrzej Cichocki, Seungjin Choi
2010	J	`jnl`	Nonnegative Matrix Factorization with Orthogonality Constraints. J. Comput. Sci. Eng. Jiho Yoo, Seungjin Choi
2010	Misc	`conf`	Nonnegative matrix partial co-factorization for drum source separation. ICASSP Jiho Yoo, Minje Kim, Kyeongok Kang, Seungjin Choi
2010	J	`jnl`	Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds. Inf. Process. Manag. Jiho Yoo, Seungjin Choi
2010	J	`jnl`	Semi-Supervised Nonnegative Matrix Factorization. IEEE Signal Process. Lett. Hyekyoung Lee, Jiho Yoo, Seungjin Choi
2009	—	`conf`	Clustering sequence sets for motif discovery. NIPS Jong Kyoung Kim, Seungjin Choi
2009	J	`jnl`	Clustering with r-regular graphs. Pattern Recognit. Jong Kyoung Kim, Seungjin Choi
2009	—	`conf`	Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection. ICONIP (1) Yoonseop Kang, Seungjin Choi
2009	J	`jnl`	Composite Common Spatial Pattern for Subject-to-Subject Transfer. IEEE Signal Process. Lett. Hyohyeong Kang, Yunjun Nam, Seungjin Choi
2009	Misc	`conf`	Ensembles of landmark multidimensional scalings. ICASSP Seunghak Lee, Seungjin Choi
2009	J	`jnl`	Gesture-recognizing hand-held interface with vibrotactile feedback for 3D interaction. IEEE Trans. Consumer Electron. Sangki Kim, Gunhyuk Park, Sunghoon Yim, Seungmoon Choi, Seungjin Choi
2009	A	`conf`	Group Nonnegative Matrix Factorization for EEG Classification. AISTATS Hyekyoung Lee, Seungjin Choi
2009	—	`conf`	Incremental learning to rank with partially-labeled data. WSCD@WSDM Kye-Hyeon Kim, Seungjin Choi
2009	—	`ch.`	Independent Component Analysis. Encyclopedia of Biometrics Seungjin Choi
2009	J	`jnl`	Kernel nonnegative matrix factorization for spectral EEG feature extraction. Neurocomputing Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi
2009	J	`jnl`	Landmark MDS ensemble. Pattern Recognit. Seunghak Lee, Seungjin Choi
2009	—	`conf`	Probabilistic Combination of Multiple Evidence. ICONIP (1) Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe
2009	Misc	`conf`	Probabilistic matrix tri-factorization. ICASSP Jiho Yoo, Seungjin Choi
2009	—	`ch.`	Supervised Learning. Encyclopedia of Biometrics Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi
2009	Misc	`conf`	Target speech extractionwith learned spectral bases. ICASSP Sunho Park, Jiho Yoo, Seungjin Choi
2009	C	`conf`	Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction. ACML Jiho Yoo, Seungjin Choi
2009	Misc	`conf`	Weighted nonnegative matrix factorization. ICASSP Yong-Deok Kim, Seungjin Choi
2008	J	`jnl`	A constrained sequential EM algorithm for speech enhancement. Neural Networks Sunho Park, Seungjin Choi
2008	B	`conf`	Algorithms for orthogonal nonnegative matrix factorization. IJCNN Seungjin Choi
2008	B	`conf`	CUR+NMF for learning spectral features from large data matrix. IJCNN Hyekyoung Lee, Seungjin Choi
2008	B	`conf`	Gaussian process regression for voice activity detection and speech enhancement. IJCNN Sunho Park, Seungjin Choi
2008	Misc	`conf`	Gaussian processes for source separation. ICASSP Sunho Park, Seungjin Choi
2008	J	`jnl`	Independent arrays or independent time courses for gene expression time series data analysis. Neurocomputing Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi
2008	B	`conf`	Kernel oriented discriminant analysis for speaker-independent phoneme spaces. ICPR Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe
2008	A*	`conf`	Manifold Integration with Markov Random Walks. AAAI Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
2008	J	`jnl`	Non-negative matrix factorization with alpha-divergence. Pattern Recognit. Lett. Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, Seungjin Choi
2008	J	`jnl`	Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. Computer Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li
2008	Misc	`conf`	Nonnegative Tucker decomposition with alpha-divergence. ICASSP Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi
2008	C	`conf`	Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds. IDEAL Jiho Yoo, Seungjin Choi
2007	J	`jnl`	A Clinical Application of Ensemble ICA to the Quantification of Myocardial Blood Flow in Dynamic J. VLSI Signal Process. Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Won Jun Kang, Jong Jin Lee, Seungjin Choi
2007	—	`conf`	A Method of Initialization for Nonnegative Matrix Factorization. ICASSP (2) Yong-Deok Kim, Seungjin Choi
2007	J	`jnl`	A relative trust-region algorithm for independent component analysis. Neurocomputing Heeyoul Choi, Seungjin Choi
2007	—	`conf`	Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition. ICB Yong-Deok Kim, Seungjin Choi
2007	A*	`conf`	Dynamically Weighted Hidden Markov Model for Spam Deobfuscation. IJCAI Seunghak Lee, Iryoung Jeong, Seungjin Choi
2007	J	`jnl`	Learning principal directions: Integrated-squared-error minimization. Neurocomputing Jong-Hoon Ahn, Jong-Hoon Oh, Seungjin Choi
2007	A*	`conf`	Neighbor search with global geometry: a minimax message passing algorithm. ICML Kye-Hyeon Kim, Seungjin Choi
2007	—	`conf`	Non-Negative Tensor Factorization using Alpha and Beta Divergences. ICASSP (3) Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari
2007	J	`jnl`	Nonnegative Tensor Factorization for Continuous EEG Classification. Int. J. Neural Syst. Hyekyoung Lee, Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi
2007	A*	`conf`	Nonnegative Tucker Decomposition. CVPR Yong-Deok Kim, Seungjin Choi
2007	—	`conf`	Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. ICANNGA (2) Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari
2007	J	`jnl`	Robust kernel Isomap. Pattern Recognit. Heeyoul Choi, Seungjin Choi
2007	—	`conf`	Soft Geodesic Kernel K-Means. ICASSP (2) Jaehwan Kim, Kwang-Hyun Shim, Seungjin Choi
2007	—	`conf`	Source Separation with Gaussian Process Models. ECML Sunho Park, Seungjin Choi
2007	J	`jnl`	Two-Dimensional Canonical Correlation Analysis. IEEE Signal Process. Lett. Sun Ho Lee, Seungjin Choi
2007	B	`conf`	Wake-Sleep PCA. IJCNN Seungjin Choi
2006	J	`jnl`	A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition. Pattern Recognit. Lett. Jaemo Sung, Sung Yang Bang, Seungjin Choi
2006	J	`jnl`	Constrained Projection Approximation Algorithms for Principal Component Analysis. Neural Process. Lett. Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
2006	J	`jnl`	Differential learning algorithms for decorrelation and independent component analysis. Neural Networks Seungjin Choi
2006	—	`conf`	ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. ICPR (1) Minje Kim, Seungjin Choi
2006	—	`conf`	Iterative Projection Approximation Algorithms for PCA. ICASSP (5) Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
2006	—	`conf`	Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance. ICA Minje Kim, Seungjin Choi
2006	—	`conf`	Nonnegative Matrix Factorization for Motor Imagery EEG Classification. ICANN (2) Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi
2006	J	`jnl`	Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine. Pattern Recognit. Lett. Jong Kyoung Kim, G. P. S. Raghava, Sung Yang Bang, Seungjin Choi
2006	B	`conf`	Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement. IJCNN Sunho Park, Seungjin Choi
2006	B	`conf`	Relative Gradient Learning for Independent Subspace Analysis. IJCNN Heeyoul Choi, Seungjin Choi
2006	J	`jnl`	Semidefinite spectral clustering. Pattern Recognit. Jaehwan Kim, Seungjin Choi
2006	J	`jnl`	Sequence-driven features for prediction of subcellular localization of proteins. Pattern Recognit. Jong Kyoung Kim, Sung Yang Bang, Seungjin Choi
2006	—	`conf`	Topographic Independent Component Analysis of Gene Expression Time Series Data. ICA Sookjeong Kim, Seungjin Choi
2006	—	`conf`	Tree-Dependent Components of Gene Expression Data for Clustering. ICANN (2) Jong Kyoung Kim, Seungjin Choi
2005	—	`conf`	F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation. ISCAS (4) Inseon Jang, Kyeongok Kang, Sangki Kim, Seungjin Choi
2005	—	`conf`	Independent Subspaces of Gene Expression Data. Artificial Intelligence and Applications Hyejin Kim, Seungjin Choi
2005	—	`conf`	Independent arrays or independent time courses for gene expression time series. ISCAS (6) Sookjeong Kim, Seungjin Choi
2005	J	`jnl`	Maximum within-cluster association. Pattern Recognit. Lett. Yongjin Lee, Seungjin Choi
2005	—	`conf`	Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach. ICANN (2) Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Seungjin Choi
2005	J	`jnl`	Nonnegative features of spectro-temporal sounds for classification. Pattern Recognit. Lett. Yong-Choon Cho, Seungjin Choi
2005	—	`conf`	On Spectral Basis Selection for Single Channel Polyphonic Music Separation. ICANN (2) Minje Kim, Seungjin Choi
2005	—	`conf`	On Variations of Power Iteration. ICANN (2) Seungjin Choi
2005	—	`conf`	Relative trust region learning for ICA. ICASSP (5) Heeyoul Choi, Seungjin Choi
2005	—	`conf`	U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models. ECML Jaemo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani
2004	A*	`conf`	A multiplicative up-propagation algorithm. ICML Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh
2004	—	`conf`	A new way of PCA: integrated-squared-error and EM algorithms. ICASSP (5) Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh
2004	B	`conf`	Fast stochastic neighbor embedding: a trust-region algorithm. IJCNN Kijoeng Nam, Hongmo Je, Seungjin Choi
2004	A	`conf`	Learning nonnegative features of spectro-temporal sounds for classification. INTERSPEECH Yong-Choon Cho, Seungjin Choi
2004	B	`conf`	Minimum entropy, k-means, spectral clustering. IJCNN Yongjin Lee, Seungjin Choi
2004	J	`jnl`	Sequential EM learning for subspace analysis. Pattern Recognit. Lett. Seungjin Choi
2004	B	`conf`	Trust-region learning for ICA. IJCNN Heeyoul Choi, Sookjeong Kim, Seungjin Choi
2003	J	`jnl`	Approximate Maximum Likelihood Source Separation Using the Natural Gradient. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Seungjin Choi, Andrzej Cichocki, Liqing Zhang, Shun-ichi Amari
2003	C	`conf`	Differential ICA. ICANN Seungjin Choi
2003	—	`conf`	Differential learning and random walk model. ICASSP (2) Seungjin Choi
2003	—	`conf`	ICA+OPCA for artifact-robust classification of EEG data. NNSP Sungcheol Park, Hyekyoung Lee, Seungjin Choi
2003	B	`conf`	Membership scoring via independent feature subspace analysis for grouping co-expressed genes. IJCNN Heyjin Kim, Seungjin Choi, Sung Yang Bang
2003	—	`conf`	PCA+HMM+SVM for EEG pattern classification. ISSPA (1) Hyekyoung Lee, Seungjin Choi
2002	C	`conf`	Adaptive Differential Decorrelation: A Natural Gradient Algorithm. ICANN Seungjin Choi
2002	A	`conf`	Comparative evaluation of CASA and BSS models for subband cocktail-party speech separation. INTERSPEECH Frédéric Berthommier, Seungjin Choi
2002	J	`jnl`	Equivariant nonstationary source separation. Neural Networks Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
2002	J	`jnl`	Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. Neurocomputing Seungjin Choi, Heonseok Hong, Hervé Glotin, Frédéric Berthommier
2002	J	`jnl`	Second Order Nonstationary Source Separation. J. VLSI Signal Process. Seungjin Choi, Andrzej Cichocki, Adel Belouchrani
2001	—	`conf`	Correlation matching approach to source separation in the presence of spatially correlated noise. ISSPA Seungjin Choi, Andrzej Cichocki
2000	—	`conf`	Factorial Code Representation of Faces for Recognition. Biologically Motivated Computer Vision Seungjin Choi, Oyoung Lee
2000	J	`jnl`	Flexible Independent Component Analysis. J. VLSI Signal Process. Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
2000	Misc	`conf`	Local stability analysis of flexible independent component analysis algorithm. ICASSP Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
2000	A	`conf`	Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. INTERSPEECH Seungjin Choi, Heonseok Hong, Hervé Glotin, Frédéric Berthommier
1999	J	`jnl`	An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment. J. Commun. Networks Seungjin Choi, Andrzej Cichocki
1999	Misc	`conf`	Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution. ICASSP Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
1998	J	`jnl`	A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals. Neural Process. Lett. Seungjin Choi, Ruey-Wen Liu, Andrzej Cichocki
1997	B	`conf`	A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria. ESANN Seungjin Choi, Ruey-Wen Liu
1997	—	`conf`	Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach. ICONIP (1) Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
1997	—	`conf`	Natural Gradient Learning Algorithms for Decorrelation. ICONIP (1) Seungjin Choi, Shun-ichi Amari, Andrzej Cichocki