
- Learning over Sets using Boosted Manifold Principal Angles (BoMPA)
- Imperial College London PhD Studentship Opening
- LEARNING A DECISION BOUNDARY FOR FACE DETECTION Tae-Kyun Kim, Donggeon Kong and Sang-Ryong Kim
- Randomised Manifold Forests for Principal Angle based Face Recognition
- Component-based LDA face description for image retrieval and MPEG-7 standardisation
- LDA WITH SUBGROUP PCA METHOD FOR FACIAL IMAGE RETRIEVAL Wonjun Hwang, Tae-Kyun Kim, Seokcheol Kee
- IMAGE MOSAICING VIA QUADRIC SURFACE ESTIMATION WITH PRIORS FOR TUNNEL Krisada Chaiyasarn, Tae-Kyun Kim, Fabio Viola, Roberto Cipolla, Kenichi Soga
- Inferring 3D Shapes and Deformations from Single Views
- Discriminant Analysis of Patterns in Images, Image Ensembles, and Videos
- International Journal of Computer Vision
- 1096 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 16, NO. 9, SEPTEMBER 2006 Design and Fusion of Pose-Invariant
- YU et al.: REAL-TIME ACTION RECOGNITION BY SPATIOTEMPORAL FORESTS 1 Real-time Action Recognition by
- KIM et al.: GROWING A TREE FROM DECISION REGIONS OF A BOOSTING CLASSIFIER 1 Making a Shallow Network Deep: Growing a
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 19, NO. 4, APRIL 2010 1067 On-line Learning of Mutually Orthogonal Subspaces
- Gesture Recognition Under Small Sample Size Tae-Kyun Kim1
- ARTICLE IN PRESS Pattern Recognition ( )
- IEICE TRANS. INF. & SYST., VOL.E88D, NO.10 OCTOBER 2005 Composite Support Vector Machines with Extended Discriminative
- Pattern Recognition 37 (2004) 18731885 www.elsevier.com/locate/patcog
- A Recursive Matching Method for Content-based Image Retrieval Hyunwoo Kim, Tae-Kyun Kim, Wonjun Hwang, Seok Cheol Kee
- Independent Component Analysis in a Facial Local Residue Space Tae-Kyun Kim
- FACE DESCRIPTION BASED ON DECOMPOSITION AND COMBINING OF A FACIAL SPACE WITH LDA
- Component-based LDA Face Descriptor for Image Retrieval
- Integrated Approach of Multiple Face Detection for Video Surveillance Tae-Kyun Kim, Sung-Uk Lee, Jong-Ha Lee, Seok-Cheol Kee and Sang-Ryong Kim
- Making a Shallow Network Deep: Growing a Tree from Decision
- Online Multiple Classifier Boosting for Object Tracking
- Locally Linear Discriminant Analysis for Multi-modally Distributed
- HYBRID AND PARALLEL FACE CLASSIFIER BASED ON ARTIFICIAL NEURAL NETWORKS AND PRINCIPAL COMPONENT ANALYSIS
- Silhouette-based Object Phenotype Recognition using 3D Shape Priors Tae-Kyun Kim2
- Multiple Classifier Boosting and Tree-Structured Classifiers
- Silhouette-based Object Phenotype Recognition using 3D Shape Priors Tae-Kyun Kim2
- IMPERIAL COLLEGE LONDON Department of Electrical and Electronic Engineering
- Learning Reusable Task Components using Hierarchical Activity Grammars with Uncertainties