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Journal Articles
- 2000
[j3]Dan S. Bloomberg, Luc M. Vincent:
Pattern matching using the blur hit - miss transform. J. Electronic Imaging 9(2): 140-150 (2000)- 1998
- [j2]Francine Chen, Dan S. Bloomberg:
Summarization of Imaged Documents without OCR. Comput. Vis. Image Underst. 70(3): 307-320 (1998) - 1996
- [j1]Francine Chen, Dan S. Bloomberg, Lynn Wilcox:
Detection and location of multicharacter sequences in lines of imaged text. J. Electronic Imaging 5(1): 37-49 (1996)
Conference and Workshop Papers
- 2011
- [c20]Nemanja Spasojevic, Guillaume Poncin, Dan S. Bloomberg:
Discrete Point Based Signatures and Applications to Document Matching. ICIAP (1) 2011: 149-158 - 2007
- [c19]Adam Langley, Dan S. Bloomberg:
Google Books: making the public domain universally accessible. DRR 2007: 65000H - 2001
- [c18]Thomas P. Minka, Dan S. Bloomberg, Kris Popat:
Document image decoding using iterated complete path search. Document Recognition and Retrieval 2001: 250-258 - [c17]Kris Popat, Daniel H. Greene, Justin K. Romberg, Dan S. Bloomberg:
Adding linguistic constraints to document image decoding: comparing the iterated complete path and stack algorithms. Document Recognition and Retrieval 2001: 259-271 - [c16]Dan S. Bloomberg, Kris Popat, Thomas P. Minka:
Document Image Decoding Using Iterated Complete Path Search with Subsampled Heuristic Scoring. ICDAR 2001: 344-349 - 2000
- [c15]Kris Popat, Dan S. Bloomberg:
Two-Stage Lossy/Lossless Compression of Grayscale Document Images. ISMM 2000: 361-370 - 1999
- [c14]Dan S. Bloomberg:
Determining the resolution of scanned document images. Document Recognition and Retrieval 1999: 10-21 - 1998
- [c13]Dan S. Bloomberg:
Reading digital data embedded in iconic text. Document Recognition 1998: 194-209 - 1997
- [c12]Dan S. Bloomberg:
Embedding digital data on paper in iconic text. Document Recognition 1997: 67-81 - [c11]Francine Chen, Dan S. Bloomberg:
Extraction of Indicative Summary Sentences from Imaged Documents. ICDAR 1997: 227-232 - 1996
- [c10]Dan S. Bloomberg, Francine Chen:
Extraction of text-related features for condensing image documents. Document Recognition 1996: 72-88 - [c9]Dan S. Bloomberg:
Textured reductions for document image analysis. Document Recognition 1996: 160-174 - [c8]Dan S. Bloomberg, Francine Chen:
Document image summarization without OCR. ICIP (2) 1996: 229-232 - 1995
- [c7]Francine Chen, Dan S. Bloomberg, Lynn D. Wilcox:
Spotting phrases in lines of imaged text. Document Recognition 1995: 256-269 - [c6]Dan S. Bloomberg, Luc M. Vincent:
Blur hit-miss transform and its use in document image pattern detection. Document Recognition 1995: 278-292 - [c5]Dan S. Bloomberg, Gary E. Kopec, Lakshmi Dasari:
Measuring document image skew and orientation. Document Recognition 1995: 302-316 - [c4]Francine Chen, Lynn Wilcox, Dan S. Bloomberg:
A comparison of discrete and continuous hidden Markov models for phrase spotting in text images. ICDAR 1995: 398-402 - 1993
- [c3]Francine Chen, Lynn D. Wilcox, Dan S. Bloomberg:
Word spotting in scanned images using hidden Markov models. ICASSP (5) 1993: 1-4 - [c2]Francine Chen, Lynn Wilcox, Dan S. Bloomberg:
Detecting and locating partially specified keywords in scanned images using hidden Markov models. ICDAR 1993: 133-138 - 1985
- [c1]Dan S. Bloomberg, G. A. Neville Connell:
Prospects for Magneto-Optic Recording. COMPCON 1985: 32-38
Editorship
- 2000
- [e1]John Goutsias, Luc M. Vincent, Dan S. Bloomberg:
Proceedings of the 5th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, ISMM 2000, Palo Alto, CA, USA, June 26-28, 2000. Computational Imaging and Vision 18, Springer 2000, ISBN 978-0-7923-7862-4 [contents]
Coauthor Index
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