Travelled to:1 × Australia
1 × Canada
1 × China
1 × Italy
1 × Japan
1 × Korea
6 × USA
Collaborated with:D.Blostein L.Hu J.R.Cordy S.Zhu B.Yuan H.Mouchère C.Viard-Gaudin A.Agarwal D.Stalnaker F.Alvaro L.Yu M.S.Reichenbach K.D.V.Wangari T.Schellenberg R.LiVolsi C.A.Bigelow J.C.Handley A.M.Namboodiri L.Zhang K.Hart R.Pospesel U.Garain D.H.Kim A.Pillay
Talks about:handwritten (10) math (9) use (9) mathemat (8) express (8) recognit (7) retriev (5) base (5) symbol (4) imag (4)
Person: Richard Zanibbi
 DBLP: Zanibbi:Richard
Facilitated 2 volumes:
Contributed to:
Wrote 22 papers:
- DRR-2015-StalnakerZ #retrieval #using
 - Math expression retrieval using an inverted index over symbol pairs (DS, RZ), p. 940207.
 - SIGIR-2014-ReichenbachAZ #assessment
 - Rendering expressions to improve accuracy of relevance assessment for math search (MSR, AA, RZ), pp. 851–854.
 - SIGIR-2014-WangariZA #case study #interface #multimodal
 - Discovering real-world use cases for a multimodal math search interface (KDVW, RZ, AA), pp. 947–950.
 - DRR-2013-ZanibbiMV #graph #pattern matching #pattern recognition #recognition
 - Evaluating structural pattern recognition for handwritten math via primitive label graphs (RZ, HM, CVG).
 - DRR-2013-ZhuHZ #image #recognition #retrieval #using
 - Rotation-robust math symbol recognition and retrieval using outer contours and image subsampling (SZ, LH, RZ).
 - DocEng-2013-AlvaroZ #layout
 - A shape-based layout descriptor for classifying spatial relationships in handwritten math (FA, RZ), pp. 123–126.
 - ICDAR-2013-HuZ #multi #using
 - Segmenting Handwritten Math Symbols Using AdaBoost and Multi-scale Shape Context Features (LH, RZ), pp. 1180–1184.
 - ICDAR-2013-MouchereVZGK #contest #online #recognition
 - ICDAR 2013 CROHME: Third International Competition on Recognition of Online Handwritten Mathematical Expressions (HM, CVG, RZ, UG, DHK), pp. 1428–1432.
 - ICDAR-2013-ZhuZ #detection #image #recognition #using
 - Label Detection and Recognition for USPTO Images Using Convolutional K-Means Feature Quantization and Ada-Boost (SZ, RZ), pp. 633–637.
 - DRR-2012-SchellenbergYZ #retrieval
 - Layout-based substitution tree indexing and retrieval for mathematical expressions (TS, BY, RZ).
 - ICPR-2012-HuHPZ #parsing
 - Baseline extraction-driven Parsing of handwritten mathematical expressions (LH, KH, RP, RZ), pp. 326–330.
 - ICPR-2012-LiVolsiZB #metric
 - Collecting historical font metrics from Google Books (RL, RZ, CAB), pp. 351–355.
 - DRR-2011-ZanibbiY #keyword #retrieval
 - Keyword and image-based retrieval of mathematical expressions (RZ, BY), pp. 1–10.
 - ICDAR-2011-HuZ #online #recognition #using
 - HMM-Based Recognition of Online Handwritten Mathematical Symbols Using Segmental K-Means Initialization and a Modified Pen-Up/Down Feature (LH, RZ), pp. 457–462.
 - ICDAR-2011-ZanibbiPMVB #metric #performance
 - Stroke-Based Performance Metrics for Handwritten Mathematical Expressions (RZ, AP, HM, CVG, DB), pp. 334–338.
 - ICDAR-2011-ZanibbiY #documentation #image #query #using
 - Math Spotting: Retrieving Math in Technical Documents Using Handwritten Query Images (RZ, LY), pp. 446–451.
 - ICDAR-2005-HandleyNZ #comprehension #context-free grammar #documentation #probability #using
 - Document Understanding System Using Stochastic Context-Free Grammars (JCH, AMN, RZ), pp. 511–515.
 - ICDAR-2005-ZanibbiBC #precise
 - Historical Recall and Precision: Summarizing Generated Hypotheses (RZ, DB, JRC), pp. 202–206.
 - ICDAR-2005-ZanibbiBC05a #recognition
 - The Recognition Strategy Language (RZ, DB, JRC), pp. 565–569.
 - ICDAR-2005-ZhangBZ #fuzzy #logic #using
 - Using Fuzzy Logic to Analyze Superscript and Subscript Relations in Handwritten Mathematical Expressions (LZ, DB, RZ), pp. 972–976.
 - ICPR-v3-2002-BlosteinCZ #compilation #diagrams #recognition
 - Applying Compiler Techniques to Diagram Recognition (DB, JRC, RZ), pp. 123–126.
 - ICDAR-2001-ZanibbiBC #analysis
 - Baseline Structure Analysis of Handwritten Mathematics Notation (RZ, DB, JRC), pp. 768–773.
 
















