| |
 |      |
                                              |
Note: Links lead to the DBLP on the Web. Jae-Woo Chang Choon-Bo Shim , Jae-Woo Chang: Similar Sub-t7trajectory Retrieval for Moving Objects in Spatio-temporal Databases. ADBIS 2003 : 308-322 Choon-Bo Shim , Jae-Woo Chang: Efficient Similar Trajectory-Based Retrieval for Moving Objects in Video Databases. CIVR 2003 : 163-173 Choon-Bo Shim , Jae-Woo Chang: Design and Implementation of a Content-Based Video Retrieval System Using Moving Objects Trajectories. ICADL 2003 : 685 Jae-Woo Chang: An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data. PAKDD 2003 : 295-300 Choon-Bo Shim , Jae-Woo Chang: A New Similar Trajectory Retrieval Scheme Using k-Warping Distance Algorithm for Moving Objects. WAIM 2003 : 433-444 Choon-Bo Shim , Jae-Woo Chang: Similar Sub-trajectory Retrieval Based on k-Warping Distance Algorithm for Moving Objects in Video Databases. ICADL 2002 : 529 Jae-Woo Chang, Du-Seok Jin : A new cell-based clustering method for large, high-dimensional data in data mining applications. SAC 2002 : 503-507 Jae-Woo Chang: CBCM: A Cell-Based Clustering Method for Data Mining Applications. WAIM 2002 : 291-302 Choon-Bo Shim , Jae-Woo Chang: A Spatio-Temporal Representation Scheme for Content- and Semantic-Based Video Retrieval on Moving Objects' Trajectories. WAIM 2002 : 52-63 Choon-Bo Shim , Jae-Woo Chang: Content-Based Retrieval using Trajectories of Moving Objects in Video Databases. DASFAA 2001 : 169-169 Jae-Woo Chang: An XML Document Retrieval System Supporting Structure- and Content-Based Queries. ER (Workshops) 2001 : 320-333 Kwang-Taek Song , Hwa-Jin Nam , Jae-Woo Chang: A cell-based index structure for similarity search in high-dimensional feature spaces. SAC 2001 : 264-268 Jae-Woo Chang, Kwang-Taek Song : An Efficient High-Dimensional Index Structure Using Cell Signatures for Similarity Search. WAIM 2001 : 26-33 Jae-Woo Chang, Yeon-Jung Kim : Spatial-Match Iconic Image Retrieval with Ranking in Multimedia Databases. WAIM 2001 : 3-13 Choon-Bo Shim , Jae-Woo Chang: Spatio-temporal representation and retrieval using moving object's trajectories. ACM Multimedia Workshops 2000 : 209-212 Sung-Geun Han , Jae-Woo Chang: A New High-Dimensional Index Structure Using a Cell-Based Filtering Technique. ADBIS-DASFAA 2000 : 79-92 Jae-Woo Chang, Yeon-Jung Kim : Spatial-match Iconic Image Representation Schemes Supporting Ranking for Indexing and Querying in Visual Databases. ADBIS-DASFAA Symposium 2000 : 68-77 Choon-Bo Shim , Jae-Woo Chang: A Spatio-temporal Representation Scheme for Modelin Moving Objects in Video Data. ASIAN 2000 : 104-118 Jae-Woo Chang, Yeon-Jung Kim , Ki-Sung Jin : Spatial Match Representation and Retrieval for Supporting Ranking in Iconic Image Databases. IEEE International Conference on Multimedia and Expo (I) 2000 : 315-318 Yeon-Jung Kim , Choon-Bo Sim , Jae-Woo Chang: Spatial Match Representation Scheme Supporting Ranking in Iconic Images Databases. CIKM 1999 : 450-457 Sung-Geun Han , Jeong-Han Son , Jae-Woo Chang, Zong-Cheol Zhoo : Design and Implementation of a Structured Information Retrieval System for SGML Documents. DASFAA 1999: 81-88 Jeong-Ki Kim , Jae-Woo Chang: VPSF: A Parallel Signature File Technique Using Vertical Partitioning and Extendable Hashing. DEXA 1999 : 166-175 Hakgene Shin , Jae-Woo Chang: Combining C-signature with Path Dictionary for Query Processing of Nested Objects in OODBS. DEXA 1999 : 312-321 Jae-Woo Chang: 3D Iconic Image Representation Scheme. DS-8 1999 : 251-269 Yeon-Jung Kim , Jae-Woo Chang: SR Scheme: Spatial-match Iconic Image Representation. IDEAS 1999 : 98-102 Jae-Woo Chang, Yeon-Jung Kim , Young Ju Hwang : Three-Dimensional Spatial Match Representation and Retrieval for Iconic Image Databases. IADT 1998 : 336-343 Jae-Woo Chang, Yeon-Jung Kim , Ki-Jin Chang : A Spatial Match Representation Scheme for Indexing and Querying in Iconic Image Databases. CIKM 1997 : 169-176 Jae-Woo Chang, Jaideep Srivastava : Spatial Match Retrieval Using Signature Files for Iconic Image Databases. ICMCS 1997 : 658-559 Hakgene Shin , Heeju Lee , Jae-Woo Chang: A Concatenated Signature Scheme on Path Dictionary for Query Processing of Composite Objects. OOIS 1997 : 44-54 Jeong-Ki Kim , Choon-Hee Lee , Jae-Woo Chang: Two-Dimensional Dynamic Signature File Method Using Extendible Hashing and Frame-Slicing Techniques. Inf. Sci. 98 (1-4): 1-26 (1997) Hakgene Shin , KangSeuk Kim , Jae-Woo Chang: S-signature: A New Scheme for Efficient Query Processing of Complex Objects in OODB. CIKM 1996 : 207-214 Hakgene Shin , Jae-Woo Chang: A New Signature Scheme for Query Processing in Object-Oriented Database. COMPSAC 1996 : 400-405 Hyunki Kim , Hakgene Shin , Jae-Woo Chang: OOHS: an Object-Oriented Hypermedia System. COMPSAC 1996 : 496-501 Hakgene Shin , Jae-Woo Chang: Signatures of Complex Objects for Query Processing in OODB. DEXA 1996 : 323-332 Hyunki Kim , Hakgene Shin , Jae-Woo Chang: An Object-Oriented Hypermedia System for Structured Documents (poster). Digital Libraries 1996 : 179 Hakgene Shin , Jae-Woo Chang: An S-signature Scheme on Path Dictionary for Efficient Query Processing in Object-Oriented Database Systems. International Hong Kong Computer Society Database Workshop 1996 : 264-281 Jeong-Ki Kim , Jae-Woo Chang: A New Parallel Signature File Method for Efficient Information Retrieval. CIKM 1995 : 66-73 Jeong-Ki Kim , Jae-Woo Chang: A New Dynamic Signature File Method in Parallel Processing Environment DEXA 1995 : 217-226 Jae Soo Yoo , Yoon-Joon Lee , Jae-Woo Chang, Myoung-Ho Kim : The HS File: A New Dynamic Signature File Method for Efficient Information Retrieval. DEXA 1994 : 571-580 Jae-Woo Chang, Yoon-Joon Lee : Multikey Access Scheme Based on Term Discrimination and Signature Clustering. DASFAA 1989 : 211-218 Jae-Woo Chang, Joon Ho Lee , Yoon-Joon Lee : Multikey Access Methods Based on Term Discrimination and Signature Clustering. SIGIR 1989 : 176-185 1 [ 15 ] 2 [ 21 ] [ 26 ] 3 [ 16 ] 4 [ 35 ] 5 [ 23 ] 6 [ 7 ] [ 9 ] 7 [ 4 ] [ 5 ] [ 12 ] [ 20 ] 8 [ 11 ] 9 [ 3 ] 10 [ 15 ] [ 16 ] [ 17 ] [ 22 ] [ 23 ] [ 25 ] [ 28 ] 11 [ 12 ] 12 [ 13 ] 13 [ 1 ] 14 [ 1 ] [ 2 ] [ 3 ] 15 [ 30 ] 16 [ 24 ] [ 27 ] [ 32 ] [ 33 ] [ 36 ] [ 37 ] [ 39 ] [ 40 ] [ 41 ] 17 [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 13 ] [ 19 ] 18 [ 22 ] 19 [ 21 ] 20 [ 29 ] [ 30 ] 21 [ 14 ] 22 [ 3 ] 23 [ 21 ]  ©2004 Association for Computing Machinery |
