BibSLEIGH — Masaki

Travelled to:

1 × Austria
1 × Canada
1 × France
1 × India
1 × Japan
1 × Korea
2 × Germany
2 × Spain
2 × United Kingdom
4 × China
7 × USA

Collaborated with:

B.Zhu C.Liu O.Velek S.Jäger Y.Yang T.Nagasaki M.Onuma J.Gao T.Fukushima X.Zhou T.Sakurada T.Yanagida C.Cheng N.Kato K.Machii A.Kitadai K.Akiyama H.Tanaka Y.Maeda ∅ Y.Nishimura R.G.Webster A.Shivram S.Setlur V.Govindaraju T.Higashiyama C.T.Nguyen B.Chen P.Luangvilay D.Wang K.Matsumoto H.Bandoh K.Oomika A.Naito T.Yamamoto H.Fukushima T.V.Phan X.Chen Y.Hagiwara H.Oda K.Saito D.Hachiya S.Kazama T.Satou N.Fukuda T.Souya J.Tokuno G.P.d.Silva K.Nakajima K.Ishigaki L.V.Tu A.Homma F.Yin D.Wang Q.Wang H.Egi S.Houri Y.Kato T.Terada W.Tsukahara Y.Yamanaka S.Sawada L.Higashigawa T.Shimamura A.Masuda Y.Kuronuma K.Shirai Y.Endo S.Inoue N.Kurushima H.Baba A.Watanabe

Talks about:

line (34) recognit (33) handwritten (28) charact (27) japanes (23) text (15) base (10) use (9) model (8) interfac (7)

Person: Masaki Nakagawa

DBLP: Nakagawa:Masaki

Contributed to:

2013

2012

2011

2009

2007

2006

2005

2004

2003

2002

2001

2000

1999

1997

1996

1993

Wrote 55 papers:

ICDAR-2013-NguyenZN #online #recognition: A Semi-incremental Recognition Method for On-Line Handwritten Japanese Text (CTN, BZ, MN), pp. 84–88.
ICDAR-2013-ShiraiEKIKBWN #documentation: Character Shape Restoration of Binarized Historical Documents by Smoothing via Geodesic Morphology (KS, YE, AK, SI, NK, HB, AW, MN), pp. 1285–1289.
ICDAR-2013-ShivramZSNG #online #random #recognition #segmentation #word: Segmentation Based Online Word Recognition: A Conditional Random Field Driven Beam Search Strategy (AS, BZ, SS, MN, VG), pp. 852–856.
ICDAR-2013-ZhuSSGN #2d #online #recognition #using #word: Online Handwritten Cursive Word Recognition Using Segmentation-Free MRF in Combination with P2DBMN-MQDF (BZ, AS, SS, VG, MN), pp. 349–353.
DRR-2012-GaoZN #complexity #online #recognition #reduction: Complexity reduction with recognition rate maintained for online handwritten Japanese text recognition (JG, BZ, MN).
DRR-2011-ZhuN #online #optimisation #parametricity #recognition: A MRF model with parameter optimization by CRF for on-line recognition of handwritten Japanese characters (BZ, MN), pp. 1–10.
ICDAR-2011-ChenZN #generative #online #recognition #scalability: Effects of Generating a Large Amount of Artificial Patterns for On-line Handwritten Japanese Character Recognition (BC, BZ, MN), pp. 663–667.
ICDAR-2011-ChengZN #online #retrieval: A Discriminative Model for On-line Handwritten Japanese Text Retrieval (CC, BZ, MN), pp. 1285–1288.
ICDAR-2011-LuangvilayZN #online: An On-line Handwritten Text Search Method Based on Directional Feature Matching (PL, BZ, MN), pp. 683–686.
ICDAR-2011-PhanGZN #normalisation #online #recognition: Effects of Line Densities on Nonlinear Normalization for Online Handwritten Japanese Character Recognition (TVP, JG, BZ, MN), pp. 834–838.
ICDAR-2011-WangZN: A Digital Ink Recogntion Server for Handwritten Japanese Text (DW, BZ, MN), pp. 146–150.
ICDAR-2011-ZhouYWWNL #random #using: Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields (XDZ, FY, DHW, QFW, MN, CLL), pp. 58–62.
ICDAR-2011-ZhuGN #design #online #recognition: Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japanese Text Recognition (BZ, JG, MN), pp. 594–598.
ICDAR-2011-ZhuN #online #optimisation #parametricity #recognition #using: On-line Handwritten Japanese Characters Recognition Using a MRF Model with Parameter Optimization by CRF (BZ, MN), pp. 603–607.
ICDAR-2011-ZhuN11a #classification #online #recognition #scalability: A Coarse Classifier Construction Method from a Large Number of Basic Recognizers for On-line Recognition of Handwritten Japanese Characters (BZ, MN), pp. 1090–1094.
ICDAR-2011-ZhuN11b #online #recognition #using: Trie-Lexicon-Driven Recognition for On-line Handwritten Japanese Disease Names Using a Time-Synchronous Method (BZ, MN), pp. 1130–1134.
HIMI-DIE-2009-EgiHKTTN #design #video: Designing a Peer Reviewing Tool on Lecture Video with Handwritten Annotation (HE, SH, YK, TT, WT, MN), pp. 31–39.
ICDAR-2009-ChengZCN #keyword: Improvements in Keyword Search Japanese Characters within Handwritten Digital Ink (CC, BZ, XC, MN), pp. 863–866.
ICDAR-2009-ZhouLN #online #random #recognition #string #using: Online Handwritten Japanese Character String Recognition Using Conditional Random Fields (XDZ, CLL, MN), pp. 521–525.
ICDAR-2009-ZhuZLN #evaluation #online #recognition: Effect of Improved Path Evaluation for On-line Handwritten Japanese Text Recognition (BZ, XDZ, CLL, MN), pp. 516–520.
HIMI-MTT-2007-SakuradaHON #interface #online #recognition #using: A Japanese Text Input Interface Using On-Line Writing-Box-Free Handwriting Recognition and Kana-to-Kanji Conversion (TS, YH, HO, MN), pp. 940–949.
ICPR-v2-2006-YangN #recognition #scalability #set: Layered Search Spaces for Accelerating Large Set Character Recognition (YY, MN), pp. 1006–1009.
ICPR-v3-2006-TokunoYSKN #coordination #modelling #online #recognition: Pen-Coordinate Information Modeling by SCPR-based HMM for On-line Japanese Handwriting Recognition (JT, YY, GPdS, AK, MN), pp. 348–351.
ICDAR-2005-KitadaiSHN: Support System for Archeologists to Read Scripts on Mokkans (AK, KS, DH, MN), pp. 1030–1034.
ICDAR-2005-ZhuN #network #online #recognition #segmentation: Segmentation of On-line Handwritten Japanese Text of Arbitrary Line Direction by a Neural Network for Improving Text Recognition (BZ, MN), pp. 157–161.
ICPR-v2-2004-NakagawaZO #constraints #formal method #online #recognition: A Formalization of On-line Handwritten Japanese Text Recognition free from Line Direction Constraint (MN, BZ, MO), pp. 359–362.
DocEng-2003-ZhuN #encoding: Information encoding into and decoding from dot texture for active forms (BZ, MN), pp. 105–114.
ICDAR-2003-JagerN #concept: The Callpaper Concept: Turning Paper into Computer Terminals (SJ, MN), pp. 1065–1069.
ICDAR-2003-NakagawaO #online #recognition: On-line Handwritten Japanese Text Recognition free from Constrains on Line Direction and Character Orientation (MN, MO), pp. 519–523.
ICDAR-2003-ShimamuraZMOSNK #prototype: A Prototype of an Active Form System (TS, BZ, AM, MO, TS, MN, YK), pp. 921–925.
ICDAR-2003-VelekN #classification #online #performance #recognition #scalability #set: Enhancing Efficiency and Speed of an Off-line Classifier Employed for On-line Handwriting Recognition of a Large Character Set (OV, MN), pp. 784–788.
ICDAR-2003-YangVN #recognition #scalability #set #using: Accelerating Large Character Set Recognition using Pivots (YY, OV, MN), pp. 262–267.
ICPR-v1-2002-VelekLJN #approach #generative #image #online #performance #recognition: An Improved Approach to Generating Realistic Kanji Character Images from On-Line Characters and its Benefit to Off-Line Recognition Performance (OV, CLL, SJ, MN), p. 588–?.
ICDAR-2001-JagerN #database #online: Two On-Line Japanese Character Databases in Unipen Format (SJ, MN), pp. 566–571.
ICDAR-2001-MatsumotoFN #analysis #online: Collection and Analysis of On-line Handwritten Japanese Character Patterns (KM, TF, MN), pp. 496–500.
ICDAR-2001-VelekNL #generative #image #online: Generating Realistic Kanji Character Images from On-Line Patterns (OV, MN, CLL), pp. 556–560.
ICPR-v2-2000-FukushimaN #online #recognition: On-Line Writing-Box-Free Recognition of Handwritten Japanese Text Considering Character Size Variations (TF, MN), pp. 2359–2363.
HCI-EI-1999-MaedaN #documentation #editing #user interface: A Paper Based User Interface for Editing Documents (YM, MN), pp. 243–246.
HCI-EI-1999-SakuradaBN #education: Extension of the IdeaBoard for Educational Applications (TS, HB, MN), pp. 213–217.
ICDAR-1999-LiuN #network #recognition #using: Handwritten Numeral Recognition using Neural Networks: Improving the Accuracy by Discriminative Training (CLL, MN), pp. 257–260.
ICDAR-1999-LiuN99a #algorithm #classification #learning #nearest neighbour #prototype #recognition: Prototype Learning Algorithms for Nearest Neighbor Classifier with Application to Handwritten Character Recognition (CLL, MN), pp. 378–381.
ICDAR-1999-NagasakiYN #automation #difference #pattern matching #recognition #using: Relaxation-based Pattern Matching using Automatic Differentiation for Off-line Character Recognition (TN, TY, MN), pp. 229–232.
ICDAR-1999-NakagawaYN #normalisation #recognition: An Off-line Character Recognition Method Employing Model-dependent Pattern Normalization by an Elastic Membrane Model (MN, TY, TN), pp. 495–498.
ICDAR-1999-TanakaNIAN #hybrid #integration #recognition: Hybrid Pen-Input Character Recognition System based on Integration of Online-Offline Recognition (HT, KN, KI, KA, MN), pp. 209–212.
HCI-SEC-1997-Nakagawa #interface: Enhancing Handwriting Interfaces (MN), pp. 451–454.
HCI-SEC-1997-NishimuraN #interface: Form Input System by Pen Interface (YN, MN), pp. 431–434.
HCI-SEC-1997-OomikaNN #idea #interface #scalability: Idea Memo PDA in Scalable Handwriting Interfaces (KO, AN, MN), pp. 455–458.
HCI-SEC-1997-TanakaKN #email #prototype: Prototyping of Digital Ink E-Mail System Based on a Common Ink Format (HT, NK, MN), pp. 435–438.
ICDAR-1997-NagasakiYN #behaviour #recognition: The Behavior of Dynamic Relaxation in an Elastic Stroke Model for Character Recognition (TN, TY, MN), pp. 16–22.
ICDAR-1997-NakagawaHYSHA #database #online #sequence: On-line Handwritten Character Pattern Database Sampled in a Sequence of Sentences without any Writing Instructions (MN, TH, YY, SiS, LH, KA), pp. 376–381.
ICPR-1996-NakagawaATHH #online #recognition #robust: Robust and highly customizable recognition of online handwritten Japanese characters (MN, KA, LVT, AH, TH), pp. 269–273.
HCI-SHI-1993-NakagawaKSF #interface: Pen-Based Interfaces for Drawing Figures with “Stationery Metaphors” (MN, SK, TS, NF), pp. 1046–1051.
ICDAR-1993-MachiiFN #online #segmentation: On-line text/drawings segmentation of handwritten patterns (KM, HF, MN), pp. 710–713.
ICDAR-1993-NakagawaKMS #design #interface: Principles of pen interface design for creative work (MN, NK, KM, TS), pp. 718–721.
ICDAR-1993-WebsterN #parallel #recognition: The feasibility of a parallel processing oriented character recognition method based on a dynamic model (RGW, MN), pp. 714–717.