BibSLEIGH — Qiang

Travelled to:

1 × Brazil
1 × Canada
1 × Japan
1 × Korea
1 × Spain
1 × Sweden
1 × Turkey
2 × China
2 × USA
2 × United Kingdom

Collaborated with:

Z.Bai L.Sun Y.Wang J.Du T.He Z.Feng Y.Lam Y.Ge L.Ma Y.Shi W.Jia K.Chen J.Sun D.Yang L.Jin

Talks about:

chines (14) charact (13) handwritten (11) onlin (8) base (8) use (8) recognit (7) approach (7) studi (6) model (5)

Person: Qiang Huo

DBLP: Huo:Qiang

Contributed to:

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

Wrote 22 papers:

ICPR-2014-SunHJC #detection #image #network #robust: Robust Text Detection in Natural Scene Images by Generalized Color-Enhanced Contrasting Extremal Region and Neural Networks (LS, QH, WJ, KC), pp. 2715–2720.
ICDAR-2013-DuH #approach #normalisation #online #recognition #variability: An Irrelevant Variability Normalization Based Discriminative Training Approach for Online Handwritten Chinese Character Recognition (JD, QH), pp. 69–73.
ICDAR-2013-SunH #approach #component #image: An Improved Component Tree Based Approach to User-Intention Guided Text Extraction from Natural Scene Images (LS, QH), pp. 383–387.
ICPR-2012-DuH #adaptation #approach #linear: A discriminative linear regression approach to OCR adaptation (JD, QH), pp. 629–632.
ICPR-2012-SunH #component: A component-tree based method for user-intention guided text extraction (LS, QH), pp. 633–636.
ICDAR-2011-DuHSS #using: Snap and Translate Using Windows Phone (JD, QH, LS, JS), pp. 809–813.
ICPR-2010-WangH10a #case study #classification #design #multi #prototype #using: A Study of Designing Compact Recognizers of Handwritten Chinese Characters Using Multiple-Prototype Based Classifiers (YW, QH), pp. 1872–1875.
ICDAR-2009-HeH #approach #online: A Character-Structure-Guided Approach to Estimating Possible Orientations of a Rotated Isolated Online Handwritten Chinese Character (TH, QH), pp. 536–540.
ICDAR-2009-HeH09a #classification #estimation #online #using: Affine Distortion Compensation for an Isolated Online Handwritten Chinese Character Using Combined Orientation Estimation and HMM-Based Minimax Classification (TH, QH), pp. 1226–1230.
ICDAR-2009-MaHS #case study #design #markov #modelling #online #recognition: A Study of Feature Design for Online Handwritten Chinese Character Recognition Based on Continuous-Density Hidden Markov Models (LM, QH, YS), pp. 526–530.
ICDAR-2009-WangH #classification #design #fault #modelling #parametricity #precise #using: Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error Training and Parameter Compression (YW, QH), pp. 36–40.
ICPR-2008-WangH #case study #modelling #online #recognition: A study of semi-tied covariance modeling for online handwritten Chinese character recognition (YW, QH), pp. 1–5.
ICDAR-2007-YangJHH #kernel #online #polynomial #recognition: Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition (DY, LJ, QH, TH), pp. 38–42.
ICPR-v2-2006-BaiH #case study #normalisation #online #recognition: A Study of Nonlinear Shape Normalization for Online Handwritten Chinese Character Recognition: Dot Density vs. Line Density Equalization (ZLB, QH), pp. 921–924.
ICDAR-2005-BaiH #case study #online #recognition: A Study On the Use of 8-Directional Features For Online Handwritten Chinese Character Recognition (ZLB, QH), pp. 262–266.
ICDAR-2005-LamH #data type #performance #using: A Data Structure Using Hashing and Tries For Efficient Chinese Lexical Access (YKL, QH), pp. 506–510.
ICPR-v2-2004-BaiH #approach #documentation #image: A Goal-Oriented Verification-Based Approach for Target Text Line Extraction from a Document Image Captured by a Pen Scanner (ZLB, QH), pp. 574–577.
ICPR-v2-2004-BaiH04a #detection #documentation #image #multi #using: Underline Detection and Removal in a Document Image Using Multiple Strategies (ZLB, QH), pp. 578–581.
ICDAR-2003-BaiH #approach #documentation #image: An Approach to Extracting the Target Text Line from a Document Image Captured by a Pen Scanner (ZLB, QH), p. 76–?.
ICDAR-2003-HuoF #modelling #performance #using: Improving Chinese/English OCR Performance by Using MCE-based Character-Pair Modeling and Negative Training (QH, ZDF), pp. 364–368.
ICPR-v3-2002-FengH #performance: Confidence Guided Progressive Search and Fast Match Techniques for High Performance Chinese/English OCR (ZDF, QH), pp. 89–92.
ICPR-v3-2002-GeH #case study #comparative #modelling #recognition #scalability: A Comparative Study of Several Modeling Approaches for Large Vocabulary Offline Recognition of Handwritten Chinese Characters (YG, QH), pp. 85–88.