BibSLEIGH — Daniel_P

Travelled to:

1 × Germany
1 × India
1 × Spain
1 × Turkey
14 × USA
2 × China
2 × Japan

Collaborated with:

G.Nagy J.Chen ∅ E.H.B.Smith B.Lamiroy W.Cheng E.Kavallieratou J.Zhou A.Joshi G.T.Wilfong B.Bruno Z.Wu A.L.Spitz Y.Wu J.S.Sandberg S.C.Seth L.Lipsky T.Sun F.Monrose H.F.Korth J.Heflin S.Goyal R.Scott X.Zhou X.Huang G.Tan P.Sarkar P.Xiu H.S.Baird J.Hu R.S.Kashi B.Clifford A.Berg G.Saunders M.S.Krishnamoorthy Y.Lin S.K.Mehta

Talks about:

document (11) analysi (6) detect (6) ballot (6) recognit (5) text (5) rule (5) line (5) noisi (4) base (4)

Person: Daniel P. Lopresti

DBLP: Lopresti:Daniel_P=

Contributed to:

2014

2013

2012

2011

2010

2009

2008

2006

2005

2004

2003

2001

1999

1997

1995

1993

1996

Wrote 41 papers:

DRR-2014-BrunoL #dataset #documentation #open data #recognition #research: The Lehigh Steel Collection: a new open dataset for document recognition research (BB, DPL), p. ?–9.
DRR-2014-NagyL #distance #similarity: Form similarity via Levenshtein distance between ortho-filtered logarithmic ruling-gap ratios (GN, DPL), pp. 902106–8.
DRR-2013-LipskyLN #policy: Optimal policy for labeling training samples (LL, DPL, GN).
ICDAR-2013-ChenL #identification: Alternatives for Page Skew Compensation in Writer Identification (JC, DPL), pp. 927–931.
ICPR-2012-ChenL #identification: Exploiting ruling line artifacts in writer identification (JC, DPL), pp. 3737–3740.
ICPR-2012-LoprestiN #automation: Optimal data partition for semi-automated labeling (DPL, GN), pp. 286–289.
DRR-2011-ChenCL #constraints #identification #using: Using perturbed handwriting to support writer identification in the presence of severe data constraints (JC, WC, DPL), pp. 1–10.
DRR-2011-ChengL #parametricity #variability: Parameter calibration for synthesizing realistic-looking variability in offline handwriting (WC, DPL), pp. 1–10.
DRR-2011-KavallieratouLC #detection: Ruling line detection and removal (EK, DPL, JC), pp. 1–10.
DRR-2011-LamiroyLKH #analysis #documentation #how #research #resource management: How carefully designed open resource sharing can help and expand document analysis research (BL, DPL, HFK, JH), pp. 1–10.
DRR-2011-NagyLSW: Characterizing challenged Minnesota ballots (GN, DPL, EHBS, ZW), pp. 1–10.
ICDAR-2011-ChenL #detection #documentation: Table Detection in Noisy Off-line Handwritten Documents (JC, DPL), pp. 399–403.
ICDAR-2011-ChenL11a #algorithm #detection #documentation #modelling: A Model-Based Ruling Line Detection Algorithm for Noisy Handwritten Documents (JC, DPL), pp. 404–408.
ICDAR-2011-LamiroyL #analysis #architecture #benchmark #documentation #metric: An Open Architecture for End-to-End Document Analysis Benchmarking (BL, DPL), pp. 42–47.
ICDAR-2011-LamiroyLS #algorithm #analysis #contest #documentation: Document Analysis Algorithm Contributions in End-to-End Applications: Report on the ICDAR 2011 Contest (BL, DPL, TS), pp. 1521–1525.
ICDAR-2011-LoprestiN #problem #question: When is a Problem Solved? (DPL, GN), pp. 32–36.
ICDAR-2011-SmithGSL #evaluation: Evaluation of Voting with Form Dropout Techniques for Ballot Vote Counting (EHBS, SG, RS, DPL), pp. 473–477.
ICDAR-2011-SmithLNW #towards: Towards Improved Paper-Based Election Technology (EHBS, DPL, GN, ZW), pp. 1255–1259.
DRR-2010-ChenL #on the #pseudo #security #usability: On the usability and security of pseudo-signatures (JC, DPL), pp. 1–10.
ICPR-2010-LoprestiK #image: Ruling Line Removal in Handwritten Page Images (DPL, EK), pp. 2704–2707.
DRR-2009-SmithNL #detection: Mark Detection from Scanned Ballots (EHBS, GN, DPL), pp. 1–10.
ICDAR-2009-ChenLM #pseudo #towards: Toward Resisting Forgery Attacks via Pseudo-Signatures (JC, DPL, FM), pp. 51–55.
ICDAR-2009-LoprestiZHT #analysis #documentation: Document Analysis Support for the Manual Auditing of Elections (DPL, XZ, XH, GT), pp. 733–737.
ICDAR-2009-NagyCBSLS: Camera-Based Ballot Counter (GN, BC, AB, GS, DPL, EHBS), pp. 151–155.
ICDAR-2009-XiuLBNS #recognition: Style-Based Ballot Mark Recognition (PX, DPL, HSB, GN, EHBS), pp. 216–220.
DRR-2008-Lopresti #fault #impact analysis #recognition: Measuring the impact of character recognition errors on downstream text analysis (DPL), p. 68150.
ICPR-2008-SmithLN #detection: Ballot mark detection (EHBS, DPL, GN), pp. 1–4.
DRR-2006-LoprestiNJ #correlation #generative #graph: Match graph generation for symbolic indirect correlation (DPL, GN, AJ).
ICPR-v3-2006-JoshiNLS #approach #correlation: A Maximum-Likelihood Approach to Symbolic Indirect Correlation (AJ, GN, DPL, SCS), pp. 99–103.
DRR-2005-LoprestiN #documentation: Chipless ID for paper documents (DPL, GN), pp. 208–215.
DRR-2005-LoprestiS #documentation #information management: Information leakage through document redaction: attacks and countermeasures (DPL, ALS), pp. 183–190.
SAC-2005-Lopresti #evaluation #performance: Performance evaluation for text processing of noisy inputs (DPL), pp. 759–763.
DRR-2004-NagyJKLLMS #classification #parametricity: A nonparametric classifier for unsegmented text (GN, AJ, MSK, YL, DPL, SKM, SCS), pp. 102–108.
DRR-2003-WuL #image #web: Resource-optimized delivery of web images to small-screen devices (YW, DPL), pp. 144–155.
ICDAR-2001-HuKLWN #why: Why Table Ground-Truthing is Hard (JH, RSK, DPL, GTW, GN), pp. 129–133.
ICDAR-2001-LoprestiW #analysis #documentation #graph: Evaluating Document Analysis Results via Graph Probing (DPL, GTW), pp. 116–120.
ICDAR-1999-Lopresti #algorithm #detection #documentation #modelling: Models and Algorithms for Duplicate Document Detection (DPL), pp. 297–300.
ICDAR-1997-ZhouL #image: Extracting Text from WWW Images (JZ, DPL), pp. 248–252.
ICDAR-v1-1995-LoprestiZNS #recognition: Spatial sampling effects in optical character recognition (DPL, JZ, GN, PS), pp. 309–314.
ICDAR-1993-LoprestiS #recognition: Certifiable optical character recognition (DPL, JSS), pp. 432–435.
ADL-1996-Lopresti #retrieval #robust: Robust Retrieval of Noisy Text (DPL), pp. 76–85.