BibSLEIGH — Adam

Travelled to:

1 × Australia
1 × Austria
1 × China
1 × Japan
1 × Korea
2 × Spain
2 × USA
3 × Germany

Collaborated with:

C.Y.Suen J.Dong B.Kégl H.Niemann D.Ponson ∅ T.Linder E.Skubalska-Rafajlowicz W.Ding G.Chen T.D.Bui N.W.Strathy S.Li T.Fevens S.Li

Talks about:

function (7) classif (5) learn (5) use (5) recognit (4) network (4) radial (4) basi (4) nonparametr (2) handwritten (2)

Person: Adam Krzyzak

DBLP: Krzyzak:Adam

Contributed to:

2008

2006

2005

2003

2001

2000

1998

1996

1993

Wrote 15 papers:

ICPR-2008-DingSK #recognition: A new courtesy amount recognition module of a Check Reading System (WD, CYS, AK), pp. 1–4.
ICPR-v2-2006-ChenBK #invariant #pattern matching #pattern recognition #recognition: Invariant Ridgelet-Fourier Descriptor for Pattern Recognition (GC, TDB, AK), pp. 768–771.
ICDAR-2005-DongPKS #word: Cursive word skew/slant corrections based on Radon transform (JxD, DP, AK, CYS), pp. 478–483.
MLDM-2005-DongKSP #composition #geometry #low level #representation #word: Low-Level Cursive Word Representation Based on Geometric Decomposition (JxD, AK, CYS, DP), pp. 590–599.
MLDM-2005-LiFKL #automation #image #modelling #segmentation #using: Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM (SL, TF, AK, SL), pp. 314–324.
MLDM-2003-DongKS #optimisation #parallel #performance: A Fast Parallel Optimization for Training Support Vector Machine (JxD, AK, CYS), pp. 96–105.
ICDAR-2001-DongKS #framework #learning #multi #pattern matching #pattern recognition #recognition: A Multi-Net Local Learning Framework for Pattern Recognition (JxD, AK, CYS), pp. 328–332.
MLDM-2001-DongKS #framework #learning #recognition: Local Learning Framework for Recognition of Lowercase Handwritten Characters (JxD, AK, CYS), pp. 226–238.
MLDM-2001-Krzyzak #classification #learning #network #using: Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks (AK), pp. 217–225.
ICPR-v2-2000-KeglKN #classification #complexity #learning #network: Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification (BK, AK, HN), pp. 2081–2086.
ICPR-v3-2000-KeglK #linear #using: Piecewise Linear Skeletonization Using Principal Curves (BK, AK), pp. 3135–3138.
ICPR-1998-KeglKN #classification #learning #network #parametricity: Radial basis function networks in nonparametric classification and function learning (BK, AK, HN), pp. 565–570.
ICPR-1996-KrzyzakL #classification #complexity #convergence #network #parametricity: Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence (AK, TL), pp. 650–653.
ICPR-1996-Skubalska-RafajlowiczK #classification #metric #performance #using: Fast k-NN classification rule using metric on space-filling curves (ESR, AK), pp. 121–125.
ICDAR-1993-StrathySK #segmentation #using: Segmentation of handwritten digits using contour features (NWS, CYS, AK), pp. 577–580.