14.1.5 Classifier, Performance Evaluation, Errors, Comparisons

Mattson, R.L., and Firschein, O.,
Feature Word Construction for Use with Pattern Recognition Algorithms: An Experimental Study,
JACM(10), No. 4, October 1963, pp. 458-477. BibRef 6310

Dressler, R.F., and Werner, W.,
Error Rates for Two Methods of Statistical Pattern Recognition,
JACM(11), No. 4, October 1964, pp. 471-480. BibRef 6410

Bledsoe, W.W.,
Some Results on Multicategory Pattern Recognition,
JACM(13), No. 2 April 1966, pp. 304-316. BibRef 6604

Hughes, G.F.,
On the Mean Accuracy of Statistical Pattern Recognizers,
IT(14), No. 1, January 1968, pp. 55-63. BibRef 6801

Chow, C.K.,
On Optimum Recognition Error and Reject Trade-Offs,
IT(16), No. 1, January 1970, pp. 41-46. Relationship between (False Rejection) FRR and (False Acceptance) FAR error formulations. See also Optimum Character Recognition System Using Decision Function, An. BibRef 7001

Rand, W.M.,
Objective Criteria for the Evaluation of Clustering Methods,
ASAJ(66), No. 336, 1971, pp. 846-850. BibRef 7100

Preston, K.,
A Comparison of Analog and Digital Techniques for Pattern Recognition,
PIEEE(60), No. 10, October 1972, pp. 1216-1231. BibRef 7210

Sacco, W.J.[William J.], Copes, W.S.[Wayne S.],
Reduction of the class of feature evaluation techniques in pattern analysis,
PR(4), No. 3, October 1972, pp. 331-332.
WWW Version. 0309 BibRef

Toussaint, G.T.[Godfried T.],
Bibliography on Estimation of Misclassification,
IT(20), 1974, pp. 472-479. Survey, Evaluation. Complete listing of the research up to this time. BibRef 7400

Slagle, J.R., Chang, C.L., Lee, C.T.,
Experiments with Some Cluster Analysis Algorithms,
PR(6), No. 3-4, December 1974, pp. 181-187.
WWW Version. BibRef 7412

Milligan, G.W.[Glenn W.], Isaac, P.D.[Paul D.],
The validation of four ultrametric clustering algorithms,
PR(12), No. 2, 1980, pp. 41-50.
WWW Version. 0309 BibRef

Bayne, C.K.[Charles K.], Beauchamp, J.J.[John J.], Begovich, C.L.[Connie L.], Kane, V.E.[Victor E.],
Monte Carlo comparisons of selected clustering procedures,
PR(12), No. 2, 1980, pp. 51-62.
WWW Version. 0309 BibRef

Viscolani, B.[Bruno],
Computational length in pattern recognizers,
PR(15), No. 5, 1982, pp. 413-418.
WWW Version. 0309 BibRef

Viscolani, B.[Bruno],
Optimization of computational time in pattern recognizers,
PR(15), No. 5, 1982, pp. 419-424.
WWW Version. 0309A sequential organization of the computations arising from pattern recognizers by absolute comparison is suggested in order to reduce the mean computational time involved. BibRef

Hanley, J., McNeil, B.,
The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) Curve,
Radiology(143), 1982, pp. 29-36. BibRef 8200

Viscolani, B.[Bruno],
Further results on optimization of recognition time,
PR(16), No. 3, 1983, pp. 337-339.
WWW Version. 0309 BibRef

Goin, J.E.[James E.], Fritz, S.L.[Steven L.],
A Matrix Approach to Data Base Exploration: Analysis of Classifier Results,
PR(16), No. 2, 1983, pp. 243-252.
WWW Version. 0309 BibRef

Raveh, A.[Adi],
Preference structure analysis: A nonmetric approach,
PR(16), No. 2, 1983, pp. 253-259.
WWW Version. 0309Suggest a nonmetric procedure in which goodness of discrimination is higher than or equal to that of Fisher's discriminant function. very different discriminant functions could yield the very same number of errors. BibRef

Fowlkes, E.B., and Mallows, C.L.,
A Method for Comparing Two Hierarchical Clusterings,
ADAJ(78), No. 383, 1983, pp. 553-569. BibRef 8300

Flick, T.E., and Jones, L.K.,
A Combinatorial Approach for Classification of Patterns with Missing Information and Random Orientation,
PAMI(8), No. 4, July 1986, pp. 482-490. BibRef 8607

Flick, T.E.[Thomas E.], Jones, L.K.[Lee K.], Priest, R.G.[Richard G.], Herman, C.[Charles],
Pattern classification using projection pursuit,
PR(23), No. 12, 1990, pp. 1367-1376.
WWW Version. 0401 BibRef

Wacker, A.G., El-Sheikh, T.S.,
Average Classification Accuracy over Collections of Gaussian Problems: Common Covariance Matrix Case,
PR(17), No. 2, 1984, pp. 259-273.
WWW Version. 0309 BibRef

Chernick, M.C., Murthy, V.K., and Nealy, C.D.,
Application of Bootstrap and Other Resampling Techniques: Evaluation of Classifier Performance,
PRL(3), 1985, pp. 167-178. BibRef 8500

Jain, A.K., Dubes, R.C., and Chen, C.C.,
Bootstrap Techniques for Error Estimation,
PAMI(9), No. 5, September 1987, pp. 628-633. BibRef 8709

Colussi, L.,
Correctness and Efficiency of Pattern Matching Algorithms,
InfoControl(95), 1991, pp. 225-251. BibRef 9100

Srivastava, A.[Anurag], Murty, M.N.,
A comparison between conceptual clustering and conventional clustering,
PR(23), No. 9, 1990, pp. 975-981.
WWW Version. 0401 BibRef

Tang, Y.Y., Qu, Y.Z., Suen, C.Y.,
Multiple-level information source and entropy-reduced transformation models,
PR(24), No. 4, 1991, pp. 341-357.
WWW Version. 0401Analyse systematically the changes in entropy which occur in the different stages of a pattern recognizer. BibRef

Gluhchev, G., Shalev, S.,
The Systematic-Error Detection as a Classification Problem,
PRL(17), No. 12, October 25 1996, pp. 1233-1238. 9612 BibRef

Duin, R.P.W.,
A Note on Comparing Classifiers,
PRL(17), No. 5, May 1 1996, pp. 529-536. 9606 BibRef

Richards, J.A.,
Classifier Performance and MAP Accuracy,
RSE(57), No. 3, September 1996, pp. 161-166. 9609 BibRef

Nyssen, E.,
Evaluation of Pattern Classifiers: Testing the Significance of Classification Efficiency Using an Exact Probability Technique,
PRL(17), No. 11, September 16 1996, pp. 1125-1129. 9611 BibRef

Nyssen, E.,
Evaluation of Pattern Classifiers: Applying a Monte Carlo Significance Test to the Classification Efficiency,
PRL(19), No. 1, January 1998, pp. 1-6. 9807 BibRef

Barbosa, P.M., Casterad, M.A., Herrero, J.,
Performance of Several Landsat-5 Thematic Mapper (TM) Image Classification Methods for Crop Extent Estimates in an Irrigation District,
JRS(17), No. 18, December 1996, pp. 3665-3674. 9701 BibRef

SanMiguel-Ayanz, J., Biging, G.S.,
Comparison of Single-Stage and Multistage Classification Approaches for Cover Type Mapping with TM and Spot Data,
RSE(59), No. 1, January 1997, pp. 92-104. 9701 BibRef

Denceux, T.,
Analysis of Evidence Theoretic Decision Rules for Pattern-Classification,
PR(30), No. 7, July 1997, pp. 1095-1107.
WWW Version. 9707 BibRef

Bokka, V., Olariu, S., Schwing, J.L., Wilson, L., Zomaya, A.,
A Time-Optimal Solution to a Classification Problem in Ordered Functional Domains, with Applications,
PR(30), No. 9, September 1997, pp. 1555-1564.
WWW Version. 9708 BibRef

Zhou, J.Y., Lopresti, D.P.,
Improving Classifier Performance Through Repeated Sampling,
PR(30), No. 10, October 1997, pp. 1637-1650.
WWW Version. 9712 BibRef

Flygare, A.M.,
A Comparison of Contextual Classification Methods Using Landsat TM,
JRS(18), No. 18, December 1997, pp. 3835-3842. 9801 BibRef

Lerner, B., Guterman, H., Aladjem, M., Dinstein, I., Romem, Y.,
On Pattern Classification with Sammons Nonlinear Mapping: An Experimental-Study,
PR(31), No. 4, April 1998, pp. 371-381.
WWW Version. 9803 See also nonlinear mapping for data structure analysis, A. BibRef

Aladjem, M.[Mayer], Dinstein, I.[Its'hak],
A multiclass extension of discriminant mappings,
ICPR92(II:101-104).
IEEE DOI Reference 9208 BibRef

Stehman, S.V., Czaplewski, R.L.,
Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles,
RSE(64), No. 3, June 1998, pp. 331-344. 9806 BibRef

Adams, N.M., Hand, D.J.,
Comparing classifiers when the misallocation costs are uncertain,
PR(32), No. 7, July 1999, pp. 1139-1147.
WWW Version. BibRef 9907

Smits, P.C., Dellepiane, S.G., Schowengerdt, R.A.,
Quality assessment of image classification algorithms for land-cover mapping: a review and a proposal for a cost-based approach,
JRS(20), No. 8, May 1999, pp. 1461. BibRef 9905

Sohn, S.Y.[So Young],
Meta Analysis of Classification Algorithms for Pattern Recognition,
PAMI(21), No. 11, November 1999, pp. 1137-1144.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9912For sample size and dimensionality. Meta model to compare different classification algorithms. Traditional statistical, neural nets, and machine learning approaches. BibRef

Srivastava, A.N., Su, R., Weigend, A.S.,
Data Mining for Features Using Scale-Sensitive Gated Experts,
PAMI(21), No. 12, December 1999, pp. 1268-1279.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0001Data analysis to partition complex regression surface into simpler surfaces (features). BibRef

Andersson, A.[Arne], Davidsson, P.[Paul], Lindén, J.[Johan],
Measure-based classifier performance evaluation,
PRL(20), No. 11-13, November 1999, pp. 1165-1173. 0001 BibRef

Lim, T.S., Loh, W.Y., Shil, Y.S.,
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms,
MachLearn(40), No. 3, 2000, pp. 203-228. 0003 BibRef

Ong, S.H., Zhao, X.,
On post-clustering evaluation and modification,
PRL(21), No. 5, May 2000, pp. 365-373. 0005 BibRef

Raudys, S.J.[Sarunas J.], Saudargiene, A.[Ausra],
First-Order Tree-Type Dependence between Variables and Classification Performance,
PAMI(23), No. 2, February 2001, pp. 233-239.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0102 BibRef

Hubert-Moy, L., Cotonnec, A., Le Du, L., Chardin, A., Perez, P.,
A Comparison of Parametric Classification Procedures of Remotely Sensed Data Applied on Different Landscape Units,
RSE(75), No. 2, 2001, pp. 174-187. 0102 BibRef

Tambouratzis, G.[George],
Improving the Clustering Performance of the Scanning n-Tuple Method by Using Self-Supervised Algorithms to Introduce Subclasses,
PAMI(24), No. 6, June 2002, pp. 722-733.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0206 BibRef
Earlier:
Improving the Classification Accuracy of the Scanning N-tuple Method,
ICPR00(Vol II: 1046-1049).
IEEE DOI Reference
HTML Version. 0009Extend work of: See also Statistical Syntactic Methods for High-Performance OCR. Remove edge effects. BibRef

Liu, M.Q.[Ming-Qin], Samal, A.[Ashok],
Cluster validation using legacy delineations,
IVC(20), No. 7, May 2002, pp. 459-467.
WWW Version. 0206 BibRef

Berikov, V.B.[Vladimir B.],
An approach to the evaluation of the performance of a discrete classifier,
PRL(23), No. 1-3, January 2002, pp. 227-233.
HTML Version. 0201 BibRef

Harvey, N.R., Theiler, J., Brumby, S.P., Perkins, S., Szymanski, J.J., Bloch, J.J., Porter, R.B., Galassi, M., Young, A.C.,
Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction,
GeoRS(40), No. 2, February 2002, pp. 393-404.
IEEE Top Reference. 0205 BibRef

Muchoney, D.M.[Douglas M.], Strahler, A.H.[Alan H.],
Pixel- and site-based calibration and validation methods for evaluating supervised classification of remotely sensed data,
RSE(81), No. 2-3, August 2002, pp. 290-299.
HTML Version. 0206 BibRef

Alsing, S.G.[Stephen G.], Bauer, Jr., K.W.[Kenneth W.], Miller, J.O.[John O.],
A multinomial selection procedure for evaluating pattern recognition algorithms,
PR(35), No. 11, November 2002, pp. 2397-2412.
WWW Version. 0208 BibRef

Maulik, U.[Ujjwal], Bandyopadhyay, S.[Sanghamitra],
Performance Evaluation of Some Clustering Algorithms and Validity Indices,
PAMI(24), No. 12, December 2002, pp. 1650-1654.
IEEE Abstract. IEEE Top Reference. 0212Hard K-Means, Single Linkage, Simulated annealing See also Optimization by Simulated Annealing. BibRef

Sandri, L.[Laura], Marzocchi, W.[Warner],
Testing the performance of some nonparametric pattern recognition algorithms in realistic cases,
PR(37), No. 3, March 2004, pp. 447-461.
WWW Version. 0401 BibRef

Toh, K.A.[Kar-Ann], Tran, Q.L.[Quoc-Long], Srinivasan, D.[Dipti],
Benchmarking a Reduced Multivariate Polynomial Pattern Classifier,
PAMI(26), No. 6, June 2004, pp. 740-755.
IEEE Abstract. IEEE Top Reference. 0404The simplified model worked well. Analyze it. BibRef

Tran, Q.L.[Quoc-Long], Toh, K.A.[Kar-Ann], Srinivasan, D.[Dipti], Wong, K.L., Low, S.Q.C.[Shaun Qiu-Cen],
An empirical comparison of nine pattern classifiers,
SMC-B(35), No. 5, October 2005, pp. 1079-1091.
IEEE DOI Reference 0510Algorithm RM. Reduced Multivariate. BibRef

Attoor, S.N.[Sanju N.], Dougherty, E.R.[Edward R.],
Classifier performance as a function of distributional complexity,
PR(37), No. 8, August 2004, pp. 1641-1651.
WWW Version. 0407 BibRef

Solberg, A.H.S.[Anne H. Schistad],
Flexible nonlinear contextual classification,
PRL(25), No. 13, 1 October 2004, pp. 1501-1508.
WWW Version. 0410 BibRef
Earlier:
Nonlinear Contextual Classification: A Comparative Study,
SCIA01(O-Th3A). 0206 BibRef

Kim, D.W.[Dae-Won], Lee, K.Y.[Ki Young], Lee, D.[Doheon], Lee, K.H.[Kwang H.],
Evaluation of the performance of clustering algorithms in kernel-induced feature space,
PR(38), No. 4, April 2005, pp. 607-611.
WWW Version. 0501 BibRef

Kim, D.W.[Dae-Won], Lee, K.Y.[Ki-Young], Lee, D.[Doheon], Lee, K.H.[Kwang H.],
A k-populations algorithm for clustering categorical data,
PR(38), No. 7, July 2005, pp. 1131-1134.
WWW Version. 0505 BibRef

Stein, A., Aryal, J., Gort, G.,
Use of the Bradley-Terry Model to Quantify Association in Remotely Sensed Images,
GeoRS(43), No. 4, April 2005, pp. 852-856.
IEEE Abstract. IEEE Top Reference. 0501 BibRef

Caulfield, H.J.[H. John], Heidary, K.[Kaveh],
Exploring margin setting for good generalization in multiple class discrimination,
PR(38), No. 8, August 2005, pp. 1225-1238.
WWW Version. 0505 BibRef

Salman, A.[Ayed], Omran, M.G.[Mahamed G.], Engelbrecht, A.P.[Andries P.],
SIGT: Synthetic Image Generation Tool for Clustering Algorithms,
GVIP(05), No. V2, January 2005, pp. 33-44
HTML Version. Create images to test clustering. BibRef 0501

Yousef, W.A.[Waleed A.], Wagner, R.F.[Robert F.], Loew, M.H.[Murray H.],
Estimating the uncertainty in the estimated mean area under the ROC curve of a classifier,
PRL(26), No. 16, December 2005, pp. 2600-2610.
WWW Version. 0512 BibRef

Yousef, W.A.[Waleed A.], Wagner, R.F.[Robert F.], Loew, M.H.[Murray H.],
Assessing Classifiers from Two Independent Data Sets Using ROC Analysis: A Nonparametric Approach,
PAMI(28), No. 11, November 2006, pp. 1809-1817.
IEEE DOI Reference 06093 Parameters: Conditional (an particular training set) AUC (area under RO Curve), mean and variance of AUC. BibRef

Baraldi, A., Bruzzone, L., Blonda, P., Carlin, L.,
Badly Posed Classification of Remotely Sensed Images: An Experimental Comparison of Existing Data Labeling Systems,
GeoRS(44), No. 1, January 2006, pp. 214-235.
IEEE DOI Reference 0601 BibRef

Baraldi, A., Bruzzone, L., Blonda, P.,
A Multiscale Expectation-Maximization Semisupervised Classifier Suitable for Badly Posed Image Classification,
IP(15), No. 8, August 2006, pp. 2208-2225.
IEEE DOI Reference 0606 BibRef

Fawcett, T.[Tom],
An introduction to ROC analysis,
PRL(27), No. 8, June 2006, pp. 861-874.
WWW Version. Classifier evaluation; Evaluation metrics 0605 BibRef

Stathakis, D., Vasilakos, A.,
Comparison of Computational Intelligence Based Classification Techniques for Remotely Sensed Optical Image Classification,
GeoRS(44), No. 8, August 2006, pp. 2305-2318.
IEEE DOI Reference 0608 BibRef

Stathakis, D.[Demetris], Kanellopoulos, I.[Ioannis],
Global Elevation Ancillary Data for Land-use Classification Using Granular Neural Networks,
PhEngRS(74), No. 1, January 2008, pp. 55-64.
WWW Version. 0803Initial guidelines for the construction of granular neural networks in the remote sensing context. BibRef

Arbel, R.[Reuven], Rokach, L.[Lior],
Classifier evaluation under limited resources,
PRL(27), No. 14, 15 October 2006, pp. 1619-1631.
WWW Version. 0609Evaluation measures; Hit-rate; Recall; Receiver operating characteristic BibRef

Nangendo, G.[Grace], Skidmore, A.K.[Andrew K.], van Oosten, H.[Henk],
Mapping East African tropical forests and woodlands: A comparison of classifiers,
PandRS(61), No. 6, February 2007, pp. 393-404.
WWW Version. 0703Forest classification; Conventional classifiers; Expert System; Classification accuracy; East Africa BibRef

An, S.[Senjian], Liu, W.Q.[Wan-Quan], Venkatesh, S.[Svetha],
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression,
PR(40), No. 8, August 2007, pp. 2154-2162.
WWW Version. 0704 BibRef
Earlier:
Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation,
ICPR06(III: 240-244).
WWW Version. 0609Model selection; Cross-validation; Kernel methods BibRef

Pham, D.S.[Duc-Son], Venkatesh, S.[Svetha],
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold,
CVPR08(1-7).
IEEE DOI Reference 0806 BibRef

Pham, D.S.[Duc-Son], Venkatesh, S.[Svetha],
Joint learning and dictionary construction for pattern recognition,
CVPR08(1-8).
IEEE DOI Reference 0806 BibRef

Břcher, P.K., McCloy, K.R.,
Optimizing Image Resolution to Maximize the Accuracy of Hard Classification,
PhEngRS(73), No. 8, August 2007, pp. 893-904.
WWW Version. 0709The relationship between classification accuracy and within class variances is investigated showing that within class variances are a function of image resolution. BibRef

Devarakota, P.R.R.[Pandu Ranga Rao], Mirbach, B.[Bruno], Ottersten, B.[Bjorn],
Reliability estimation of a statistical classifier,
PRL(29), No. 3, 1 February 2008, pp. 243-253.
WWW Version. 0801Pattern classification; Local density estimation; Confidence intervals; Binomial distribution; GMMs; Pattern rejection BibRef

Sahiner, B., Chan, H.P., Hadjiiski, L.M.,
Performance Analysis of Three-Class Classifiers: Properties of a 3-D ROC Surface and the Normalized Volume Under the Surface for the Ideal Observer,
MedImg(27), No. 2, February 2008, pp. 215-227.
IEEE DOI Reference 0802 BibRef

Volkovich, Z., Barzily, Z., Morozensky, L.,
A statistical model of cluster stability,
PR(41), No. 7, July 2008, pp. 2174-2188.
WWW Version. 0804Cluster validation; Negative definite functions; Statistical model BibRef

Akhbardeh, A.[Alireza], Nikhil, Koskinen, P.E.[Perttu E.], Yli-Harja, O.[Olli],
Towards the experimental evaluation of novel supervised fuzzy adaptive resonance theory for pattern classification,
PRL(29), No. 8, 1 June 2008, pp. 1082-1093.
WWW Version. 0804Affine look-up table; Classification; Pre-classification; Post-classification; Supervised fuzzy adaptive resonance theory (SF-ART) network Iris recognition. BibRef

Ferri, C., Hernandez-Orallo, J., Modroiu, R.,
An experimental comparison of performance measures for classification,
PRL(30), No. 1, 1 January 2009, pp. 27-38.
WWW Version. 0811Classification; Performance measures; Ranking; Calibration BibRef

Zhang, X.[Xiao], Liang, L.[Lin], Tang, X.[Xiaoou], Shum, H.Y.[Heung-Yeung],
L1 regularized projection pursuit for additive model learning,
CVPR08(1-8).
IEEE DOI Reference 0806 BibRef

Su, Y.[Yu], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Classifiability-based Optimal Discriminatory Projection Pursuit,
CVPR08(1-7).
IEEE DOI Reference 0806 BibRef

Godoy-Calderón, S.[Salvador], Martínez-Trinidad, J.F., Cortés, M.L.[Manuel Lazo],
Proposal for a Unified Methodology for Evaluating Supervised and Non-supervised Classification Algorithms,
CIARP06(674-685).
Springer DOI Reference 0611 BibRef

Mouchere, H.[Harold], Anquetil, E.[Eric],
A Unified Strategy to Deal with Different Natures of Reject,
ICPR06(II: 792-795).
WWW Version. 0609 BibRef

Pugliese, L.[Luca], Scarpetta, S.[Silvia], Esposito, A.[Anna], Marinaro, M.[Maria],
An Application of Neural and Probabilistic Unsupervised Methods to Environmental Factor Analysis of Multi-spectral Images,
CIAP05(1190-1197).
Springer DOI Reference 0509compare 2 clustering methods for LANDSAT classification. BibRef

Maillard, P.[Philippe], Clausi, D.A.[David A.],
Comparing Classification Metrics for Labeling Segmented Remote Sensing Images,
CRV05(421-428).
IEEE DOI Reference 0505 BibRef

Zass, R.[Ron], Shashua, A.[Amnon],
Probabilistic graph and hypergraph matching,
CVPR08(1-8).
IEEE DOI Reference 0806 BibRef

Zass, R.[Ron], Shashua, A.[Amnon],
A Unifying Approach to Hard and Probabilistic Clustering,
ICCV05(I: 294-301).
IEEE DOI Reference 0510Analysis of clustering approaches. BibRef

Kolsch, T., Keysers, D., Ney, H., Paredes, R.,
Enhancements for local feature based image classification,
ICPR04(I: 248-251).
IEEE DOI Reference 0409Decompose and analyze nearest neighbor search and direct voting for classification. BibRef

Mansilla, E.B., Ho, T.K.[Tin Kam],
On classifier domains of competence,
ICPR04(I: 136-139).
IEEE DOI Reference 0409Where are which classifiers competent. BibRef

Johnson, A.Y.[Amos Y.], Sun, J.[Jie], Bobick, A.F.[Aaron F.],
Predicting Large Population Data Cumulative Match Characteristic Performance from Small Population Data,
AVBPA03(821-829).
HTML Version. 0310 BibRef

Lucas, S.M.,
Web-based evaluation and deployment of pattern recognizers,
ICPR02(III: 419-422).
IEEE DOI Reference 0211 BibRef

Duin, R.P.W., Pekalska, E., Tax, D.M.J.,
The characterization of classification problems by classifier disagreements,
ICPR04(I: 140-143).
IEEE DOI Reference 0409 BibRef

de Ridder, D., Pekalska, E., Duin, R.P.W.,
The economics of classification: error vs. complexity,
ICPR02(II: 244-247).
IEEE DOI Reference 0211 BibRef

Varma, M., Zisserman, A.P.,
Classifying materials from images: to cluster or not to cluster?,
Texture02(139-144). 0207 BibRef

Yang, M.H., Roth, D., Ahuja, N.,
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition,
ECCV02(IV: 685 ff.).
HTML Version. 0205 BibRef

Huijsmans, N.P., Sebe, N.,
Extended Performance Graphs for Cluster Retrieval,
CVPR01(I:26-31).
IEEE Abstract. IEEE Top Reference. 0110In classification, issue of how to measure the performance expecially when true negatives are dominant. BibRef

Bromiley, P.A., Courtney, P., Thacker, N.A.,
A Case Study in the use of ROC curves for Algorithm Design,
BMVC01(Poster Session 1).
HTML Version. University of Manchester 0110 BibRef

Michaels, R., Boult, T.E.,
A Stratified Methodology for Classifier and Recognizer Evaluation,
EEMCV01(xx-yy). 0110 BibRef

Tang, M., Xiao, J., Ma, S.D.[Song De],
Two-step Classification Based on Scale Space,
ICPR00(Vol II: 899-902).
IEEE DOI Reference
HTML Version. 0009 BibRef

Scott, M.J.J., Niranjan, M., Prager, R.W.,
Realisable Classifiers: Improving Operating Performance on Variable Cost Problems,
BMVC98(xx-yy). BibRef 9800

Prager, R.W.,
CART/CMAC hybrid: regression trees with interpolation,
ICPR94(B:476-478).
IEEE DOI Reference 9410 BibRef

Kraaijveld, M.A.[Martin A.],
An Experimental Comparison of Non-Parametric Classifiers for Time-Constrained Classification Tasks,
ICPR98(Vol I: 428-435).
IEEE DOI Reference 9808 BibRef

Lashkia, V.[Vakhtang], Aleshin, S.,
Test Feature Classifiers: Performance and Applications,
ICPR98(Vol I: 341-343).
IEEE DOI Reference 9808Properties BibRef

Zhao, W.Y.[Wen-Yi], Chellappa, R.[Rama], Nandhakumar, N.,
Empirical Performance Analysis of Linear Discriminant Classifiers,
CVPR98(164-169).
IEEE Abstract. IEEE Top Reference. BibRef 9800

Gorski, N.,
Optimizing Error-Reject Trade-Off in Recognition Systems,
ICDAR97(We-3C) 9708 BibRef

Altamirano-Robles, L., Eckstein, W.,
The Importance of Feature Visibility for the Evaluation of a Matching Hypothesis,
ICPR96(I: 585-589).
IEEE DOI Reference 9608(Technical Univ. of Munich, D) BibRef

Yu, S.[Shan], Weigl, K.[Konrad],
Performance comparison of a deterministic and a stochastic method for image classification,
CAIP95(826-831).
Springer DOI Reference 9509 BibRef

Ford, S.J., Hampshire, II, J.B., McKeown, D.M.,
Performance Evaluation of Multispectral Analysis for Surface Material Classification,
DARPA93(421-435). Classification. BibRef 9300

Niblack, W., Petkovic, D., Damian, D.,
Experiments and Evaluations of Rule Based Methods in Image Analysis,
CVPR88(123-128).
IEEE Abstract. IEEE Top Reference. BibRef 8800

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Error Estimation, Classification Accuracy .