Petra Perner, Maria Petrou
Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition
MLDM, 1999.

@proceedings{MLDM-1999,
	address       = "Leipzig, Germany",
	editor        = "Petra Perner and Maria Petrou",
	isbn          = "3-540-66599-4",
	publisher     = "{Springer-Verlag}",
	series        = "{Lecture Notes in Computer Science}",
	title         = "{Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition}",
	volume        = 1715,
	year          = 1999,
}

Contents (17 items)

6 ×#learning
5 ×#image
4 ×#network
3 ×#data mining
3 ×#mining
3 ×#multi
2 ×#recognition

MLDM-1999-Petrou #learning #pattern matching #pattern recognition #recognition

Learning in Pattern Recognition (MP), pp. 1–12.

MLDM-1999-HongW #data mining #mining #predict

Advanced in Predictive Data Mining Methods (SJH, SMW), pp. 13–20.

MLDM-1999-AizenbergAK #algorithm #image #learning #multi #recognition

Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition (INA, NNA, GAK), pp. 21–35.

MLDM-1999-ImiyaK #network

A Dynamics of the Hough Transform and Artifical Neural Networks (AI, KK), pp. 36–50.

MLDM-1999-MilanovaAOS #network #problem

Applications of Celluar Neural Networks for Shape from Shading Problem (MGM, PEMA, JOJ, MGS), pp. 51–63.

MLDM-1999-Jahn #image #learning #preprocessor

Unsupervised Learning of Local Mean Gray Values for Image Pre-processing (HJ), pp. 64–74.

MLDM-1999-ReczkoKMGO #estimation #image #network

Neural Networks in MR Image Estimation from Sparsely Sampled Scans (MR, DAK, VM, DGD, DvO), pp. 75–86.

MLDM-1999-PalenichkaV #image #multi #using

Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function (RMP, MAV), pp. 87–102.

MLDM-1999-PengB #analysis #image #independence #retrieval

Independent Feature Analysis for Image Retrieval (JP, BB), pp. 103–115.

MLDM-1999-KingL #clustering #information retrieval #learning

Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval (IK, TKL), pp. 116–130.

MLDM-1999-GiacintoR #automation #classification #design #learning #multi

Automatic Design of Multiple Classifier Systems by Unsupervised Learning (GG, FR), pp. 131–143.

MLDM-1999-JacobsenZP #comparison #network

A Comparison between Neural Networks and Decision Trees (CJ, UZ, PP), pp. 144–158.

MLDM-1999-AltamuraELM #documentation #learning

Symbolic Learning Techniques in Paper Document Processing (OA, FE, FAL, DM), pp. 159–173.

MLDM-1999-BeranM #music

Recognito of Printed Music Score (TB, TM), pp. 174–179.

MLDM-1999-Sawaragi #data mining #effectiveness #interactive #mining

Reproductive Process-Oriented Data Mining from Interactions between Human and Complex Artifact System (TS), pp. 180–194.

MLDM-1999-PetrouS #fuzzy

Generalized Fuzzy Aggregation Operators (MP, KRS), pp. 195–208.

MLDM-1999-Scaringella #data mining #mining #monitoring #risk management

A Data Mining Application for Monitoring Environmental Risks (AS), pp. 209–215.