Petra Perner
Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
MLDM, 2001.

@proceedings{MLDM-2001,
	address       = "Leipzig, Germany",
	editor        = "Petra Perner",
	isbn          = "3-540-42359-1",
	publisher     = "{Springer-Verlag}",
	series        = "{Lecture Notes in Computer Science}",
	title         = "{Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition}",
	volume        = 2123,
	year          = 2001,
}

Contents (28 items)

8 ×#learning
4 ×#classification
4 ×#mining
4 ×#recognition
3 ×#clustering
3 ×#data mining
3 ×#detection
3 ×#image
3 ×#statistics
2 ×#concept

MLDM-2001-Visa #mining

Technology of Text Mining (AV), pp. 1–11.

MLDM-2001-SackK #data mining #evaluation #mining

Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining (US, MK), pp. 12–22.

MLDM-2001-SchmidtG #abstraction #reasoning

Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications (RS, LG), pp. 23–34.

MLDM-2001-Perner #classification #question #reasoning

Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin? (PP), pp. 35–51.

MLDM-2001-JangKC #detection #fuzzy

FAM-Based Fuzzy Inference for Detecting Shot Transitions (SWJ, GYK, HIC), pp. 52–61.

MLDM-2001-IndurkhyaW #rule-based

Rule-Based Ensemble Solutions for Regression (NI, SMW), pp. 62–72.

MLDM-2001-Fernau #learning #xml

Learning XML Grammars (HF), pp. 73–87.

MLDM-2001-MalerbaELL #first-order #induction #recognition

First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps (DM, FE, AL, FAL), pp. 88–101.

MLDM-2001-BhanuD #clustering #concept #feedback #fuzzy #learning

Concepts Learning with Fuzzy Clustering and Relevance Feedback (BB, AD), pp. 102–116.

MLDM-2001-TrinidadS #algorithm #clustering #concept #named

LC: A Conceptual Clustering Algorithm (JFMT, GSD), pp. 117–127.

MLDM-2001-SyG #analysis #approach #data mining #mining #statistics

Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data (BKS, AKG), pp. 128–140.

MLDM-2001-PernerB #data mining #hybrid #mining

A Hybrid Tool for Data Mining in Picture Archiving System (PP, TPB), pp. 141–156.

MLDM-2001-KollmarH #feature model #learning

Feature Selection for a Real-World Learning Task (DK, DHH), pp. 157–172.

MLDM-2001-FischerB #automation #identification #using

Automatic Identification of Diatoms Using Decision Forests (SF, HB), pp. 173–183.

MLDM-2001-ToivonenVVBV #clustering #documentation #validation

Validation of Text Clustering Based on Document Contents (JT, AV, TV, BB, HV), pp. 184–195.

MLDM-2001-WachowiakSME #modelling #parametricity #statistics

Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution (MPW, RS, MGM, ASE), pp. 196–205.

MLDM-2001-LinderP #how #learning

How to Automate Neural Net Based Learning (RL, SJP), pp. 206–216.

MLDM-2001-Krzyzak #classification #learning #network #using

Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks (AK), pp. 217–225.

MLDM-2001-DongKS #framework #learning #recognition

Local Learning Framework for Recognition of Lowercase Handwritten Characters (JxD, AK, CYS), pp. 226–238.

MLDM-2001-ShiWOK #image #learning #recognition

Mirror Image Learning for Handwritten Numeral Recognition (MS, TW, WO, FK), pp. 239–248.

MLDM-2001-PhamWS #classification #detection #network

Face Detection by Aggregated Bayesian Network Classifiers (TVP, MW, AWMS), pp. 249–262.

MLDM-2001-WuH #self #towards

Towards Self-Exploring Discriminating Features (YW, TSH), pp. 263–277.

MLDM-2001-ImiyaO #linear

PCA-Based Model Selection and Fitting for Linear Manifolds (AI, HO), pp. 278–292.

MLDM-2001-ImiyaI #detection #statistics

Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields (AI, KI), pp. 293–306.

MLDM-2001-Krawiec #comparison #learning #on the #using #visual notation

On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples (KK), pp. 307–321.

MLDM-2001-MottlDSKM #classification #pattern matching #pattern recognition #recognition

Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification (VM, SD, OS, CAK, IBM), pp. 322–336.

MLDM-2001-GiacintoRF #adaptation #image #query #retrieval

Adaptive Query Shifting for Content-Based Image Retrieval (GG, FR, GF), pp. 337–346.

MLDM-2001-Potamias #assessment #database #image #multi #similarity

Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases (GP), pp. 347–362.