BibSLEIGH — Cheng-Lin

Travelled to:

1 × Germany
1 × India
1 × Japan
1 × Korea
1 × Spain
1 × Sweden
1 × Turkey
2 × China
2 × United Kingdom
3 × Canada
6 × USA

Collaborated with:

F.Yin D.Wang Q.Wang M.Nakagawa H.Fujisawa X.Zhou X.Hou X.Zhang H.Sako H.Zhang A.Delaye ∅ M.Koga M.Zhou X.Jin H.Hao I.Kim J.H.Kim T.Su O.Velek B.Zhu T.Gao L.Ma K.Marukawa G.Nagy B.Bai K.Chen H.Wang B.Xu K.Huang Y.Pan R.Mine R.Dai Y.Liu Y.Lv L.Huang F.Tian H.Wang A.Lu X.Chen L.Huang Q.Chen L.Xu M.Nagakawa J.Yu T.Zhang H.Huang S.Jäger S.Veeramachaneni S.Andra I.Zavorin E.Borovikov A.Borovikov L.Hernández K.M.Summers M.Turner

Talks about:

handwritten (30) recognit (29) chines (27) charact (23) text (14) discrimin (12) onlin (10) line (10) base (10) use (10)

Person: Cheng-Lin Liu

DBLP: Liu:Cheng=Lin

Contributed to:

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

1999

1997

1995

Wrote 59 papers:

ICPR-2014-ZhouZYL #feature model #polynomial #recognition: Improving Handwritten Chinese Character Recognition with Discriminative Quadratic Feature Extraction (MKZ, XYZ, FY, CLL), pp. 244–249.
DRR-2013-DelayeL #documentation #modelling #online: Context modeling for text/non-text separation in free-form online handwritten documents (AD, CLL).
ICDAR-2013-BaiYL #correlation #locality #using: Scene Text Localization Using Gradient Local Correlation (BB, FY, CLL), pp. 1380–1384.
ICDAR-2013-ChenYL #hybrid #performance #segmentation: Hybrid Page Segmentation with Efficient Whitespace Rectangles Extraction and Grouping (KC, FY, CLL), pp. 958–962.
ICDAR-2013-DelayeL #documentation #online #random: Graphics Extraction from Heterogeneous Online Documents with Hierarchical Random Fields (AD, CLL), pp. 1007–1011.
ICDAR-2013-LvHWL #online #realtime #recognition #segmentation: Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting (YFL, LLH, DHW, CLL), pp. 74–78.
ICDAR-2013-YinWZL #contest #recognition: ICDAR 2013 Chinese Handwriting Recognition Competition (FY, QFW, XYZ, CLL), pp. 1464–1470.
ICDAR-2013-YinZWL #consistency #recognition: Style Consistent Perturbation for Handwritten Chinese Character Recognition (FY, MKZ, QFW, CLL), pp. 1051–1055.
ICDAR-2013-ZhangL #polynomial: Locally Smoothed Modified Quadratic Discriminant Function (XYZ, CLL), pp. 8–12.
ICDAR-2013-ZhangZL #documentation #keyword #online: Keyword Spotting in Online Chinese Handwritten Documents with Candidate Scoring Based on Semi-CRF Model (HZ, XDZ, CLL), pp. 567–571.
ICDAR-2013-ZhouTLW #markov #random #recognition #using: Minimum Risk Training for Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields (XDZ, FT, CLL, HW), pp. 940–944.
ICDAR-2013-ZhouYL #learning #performance #polynomial #recognition: GPU-Based Fast Training of Discriminative Learning Quadratic Discriminant Function for Handwritten Chinese Character Recognition (MKZ, FY, CLL), pp. 842–846.
ICPR-2012-LuHLC #recognition #using: Insect species recognition using discriminative local soft coding (AL, XH, CLL, XC), pp. 1221–1224.
ICPR-2012-WangL12b #learning #recognition #string: String-level learning of confidence transformation for Chinese handwritten text recognition (DHW, CLL), pp. 3208–3211.
ICPR-2012-ZhangWL #documentation #keyword #online: A confidence-based method for keyword spotting in online Chinese handwritten documents (HZ, DHW, CLL), pp. 525–528.
ICDAR-2011-HuangYCL #documentation #keyword #statistics #using: Keyword Spotting in Offline Chinese Handwritten Documents Using a Statistical Model (LH, FY, QHC, CLL), pp. 78–82.
ICDAR-2011-LiuYWW #database #online: CASIA Online and Offline Chinese Handwriting Databases (CLL, FY, DHW, QFW), pp. 37–41.
ICDAR-2011-LiuYWW11a #contest #recognition: ICDAR 2011 Chinese Handwriting Recognition Competition (CLL, FY, QFW, DHW), pp. 1464–1469.
ICDAR-2011-SuLZ #learning #polynomial: Perceptron Learning of Modified Quadratic Discriminant Function (THS, CLL, XYZ), pp. 1007–1011.
ICDAR-2011-WangL #realtime #recognition #segmentation: Dynamic Text Line Segmentation for Real-Time Recognition of Chinese Handwritten Sentences (DHW, CLL), pp. 931–935.
ICDAR-2011-WangYL #recognition: Improving Handwritten Chinese Text Recognition by Confidence Transformation (QFW, FY, CLL), pp. 518–522.
ICDAR-2011-XuYWL #analysis #using: Touching Character Separation in Chinese Handwriting Using Visibility-Based Foreground Analysis (LX, FY, QFW, CLL), pp. 859–863.
ICDAR-2011-ZhangL #keyword #online: A Lattice-Based Method for Keyword Spotting in Online Chinese Handwriting (HZ, CLL), pp. 1064–1068.
ICDAR-2011-ZhouYWWNL #random #using: Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields (XDZ, FY, DHW, QFW, MN, CLL), pp. 58–62.
ICPR-2010-JinHL #multi: Multi-class AdaBoost with Hypothesis Margin (XJ, XH, CLL), pp. 65–68.
ICPR-2010-Liu10a #classification #prototype #retrieval: One-Vs-All Training of Prototype Classifier for Pattern Classification and Retrieval (CLL), pp. 3328–3331.
ICPR-2010-WangHL #analysis #incremental: Boosting Incremental Semi-supervised Discriminant Analysis for Tracking (HW, XH, CLL), pp. 2748–2751.
ICPR-2010-XuHL #distance #reduction: Dimensionality Reduction by Minimal Distance Maximization (BX, KH, CLL), pp. 569–572.
DRR-2009-ZhuZLN #online #recognition #robust: A Robust Model for On-line Handwritten Japanese Text Recognition (BZ, XDZ, CLL, MN), pp. 1–10.
ICDAR-2009-PanHL #image #locality #random: Text Localization in Natural Scene Images Based on Conditional Random Field (YFP, XH, CLL), pp. 6–10.
ICDAR-2009-WangLYZ #database #named #online: CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters (DHW, CLL, JLY, XDZ), pp. 1206–1210.
ICDAR-2009-WangYL #recognition: Integrating Language Model in Handwritten Chinese Text Recognition (QFW, FY, CLL), pp. 1036–1040.
ICDAR-2009-YinL #segmentation: A Variational Bayes Method for Handwritten Text Line Segmentation (FY, CLL), pp. 436–440.
ICDAR-2009-YinWL #documentation: A Tool for Ground-Truthing Text Lines and Characters in Off-Line Handwritten Chinese Documents (FY, QFW, CLL), pp. 951–955.
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.
ICPR-2008-GaoL #classification #polynomial #recognition: Combining quadratic classifier and pair discriminators by pairwise coupling for handwritten Chinese character recognition (TFG, CLL), pp. 1–4.
ICPR-2008-JinLH #learning #prototype: Prototype learning with margin-based conditional log-likelihood loss (XJ, CLL, XH), pp. 1–4.
ICPR-2008-MaL #approach #online #recognition: A new radical-based approach to online handwritten Chinese character recognition (LLM, CLL), pp. 1–4.
ICPR-2008-SuZHL: Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting (THS, TZ, HJH, CLL), pp. 1–4.
DRR-2007-AndraNLZBBHST #effectiveness: Frequency coding: an effective method for combining dichotomizers (SA, GN, CLL, IZ, EB, AB, LH, KMS, MT).
ICPR-v2-2006-Liu #classification #feature model #polynomial #recognition #using: High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction (CLL), pp. 942–945.
ICDAR-2005-LiuKF #comparison #feature model #recognition: Gabor Feature Extraction for Character Recognition: Comparison with Gradient Feature (CLL, MK, HF), pp. 121–125.
ICDAR-2005-LiuMK #classification #feature model #recognition #scalability #set #using: Building Compact Classifier for Large Character Set Recognition Using Discriminative Feature Extraction (CLL, RM, MK), pp. 846–850.
ICPR-v1-2004-LiuM #classification #recognition #string: Handwritten Numeral String Recognition: Character-Level vs. String-Level Classifier Training (CLL, KM), pp. 405–408.
ICDAR-2003-FujisawaL #pattern matching #recognition #revisited: Directional Pattern Matching for Character Recognition Revisited (HF, CLL), pp. 794–798.
ICDAR-2003-HaoLS #classification #evaluation: Confidence Evaluation for Combining Diverse Classifiers (HH, CLL, HS), pp. 760–764.
ICDAR-2003-HaoLS03a #algorithm #classification #comparison #search-based #set: Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection (HH, CLL, HS), pp. 765–769.
ICDAR-2003-LiuSF #normalisation #recognition: Handwritten Chinese Character Recognition: Alternatives to Nonlinear Normalization (CLL, HS, HF), pp. 524–528.
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–?.
ICPR-v2-2002-VeeramachaneniFLN #classification #polynomial: Style-Conscious Quadratic Field Classifier (SV, HF, CLL, GN), pp. 72–75.
ICPR-v4-2002-LiuSF #classification #learning #polynomial: Learning Quadratic Discriminant Function for Handwritten Character Classification (CLL, HS, HF), pp. 44–47.
ICDAR-2001-LiuKF #recognition #string: Lexicon-Driven Handwritten Character String Recognition for Japanese Address Reading (CLL, MK, HF), pp. 877–881.
ICDAR-2001-VelekNL #generative #image #online: Generating Realistic Kanji Character Images from On-Line Patterns (OV, MN, CLL), pp. 556–560.
ICDAR-1999-KimKL #recognition: Stroke-guided Pixel Matching for Handwritten Chinese Character Recognition (IJK, JHK, CLL), pp. 665–668.
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-1997-LiuKK #recognition: High Accuracy Handwritten Chinese Character Recognition by Improved Feature Matching Method (CLL, IJK, JHK), pp. 1033–1037.
ICDAR-v1-1995-LiuDL #identification: Extracting individual features from moments for Chinese writer identification (CLL, RWD, YJL), pp. 438–441.