Search results for "sample-size"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
61	Sarunas Raudys, Anil K. Jain 0001	Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners.	IEEE Trans. Pattern Anal. Mach. Intell.	1991	DBLP DOI BibTeX RDF	sample size effects, pattern recognition, learning, feature selection, statistical analysis, classifiers, error estimation, error rates, statistical pattern recognition
53	Baohua Gu, Bing Liu 0001, Feifang Hu, Huan Liu	Efficiently Determining the Starting Sample Size for Progressive Sampling.	ECML	2001	DBLP DOI BibTeX RDF
52	Xuegang Hu, Haitao Yu	The Research of Sampling for Mining Frequent Itemsets.	RSKT	2006	DBLP DOI BibTeX RDF	weighted sampling, statistical optimal sample size, Data Mining, association rule, frequent itemsets
44	Rainer Gemulla, Wolfgang Lehner, Peter J. Haas	Maintaining bounded-size sample synopses of evolving datasets.	VLDB J.	2008	DBLP DOI BibTeX RDF	Database sampling, Reservoir sampling, Sample maintenance, Synopsis
43	Kun-Ta Chuang, Hung-Leng Chen, Ming-Syan Chen	Feature-preserved sampling over streaming data.	ACM Trans. Knowl. Discov. Data	2009	DBLP DOI BibTeX RDF	sampling, Streaming mining
43	Jian Yang 0003, David Zhang 0001, Jing-Yu Yang 0001	A generalised K-L expansion method which can deal with small sample size and high-dimensional problems.	Pattern Anal. Appl.	2003	DBLP DOI BibTeX RDF	High dimensional problem, K-L expansion, Feature extraction, Face recognition, Principal Component Analysis, Small sample size problem
43	Keinosuke Fukunaga, Raymond R. Hayes	Effects of Sample Size in Classifier Design.	IEEE Trans. Pattern Anal. Mach. Intell.	1989	DBLP DOI BibTeX RDF	pattern recognition, pattern recognition, design, parameter estimates, parameter estimation, classifier, variance, bias, sample-size, Bhattacharyya distance
42	Lei Shi 0016	Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation.	Oppositional Concepts in Computational Intelligence	2008	DBLP DOI BibTeX RDF	Local Factor Analysis, Two-phase implementation, Automatic model selection, Bayesian Ying-Yang harmony learning, Data smoothing, Model selection, Small sample size, Incremental methods
42	Marina Skurichina, Robert P. W. Duin	Regularisation of Linear Classifiers by Adding Redundant Features.	Pattern Anal. Appl.	1999	DBLP DOI BibTeX RDF	Critical sample size, Generalisation error, Noise injection, Peaking behaviour, Pseudo Fisher Linear Discriminant, Ridge estimate, Regularisation
41	Shusaku Tsumoto	Role of Sample Size and Determinants in Granularity of Contingency Matrix.	Data Mining: Foundations and Practice	2008	DBLP DOI BibTeX RDF
41	Gita Das, Sid Ray	Effect of Finite Sample Size in Content-Based Image Retrieval.	AVSS	2006	DBLP DOI BibTeX RDF
38	Aistis Raudys	Accuracy of MLP Based Data Visualization Used in Oil Prices Forecasting Task.	ICIAP	2005	DBLP DOI BibTeX RDF	Neural network, Feature extraction, Data mapping, Sample size
37	Sarunas Raudys	On Dimensionality, Sample Size, and Classification Error of Nonparametric Linear Classification Algorithms.	IEEE Trans. Pattern Anal. Mach. Intell.	1997	DBLP DOI BibTeX RDF	complexity, training, dimensionality, margin, Generalization error, sample size
37	Chuan-Yu Chang, Ching-Yu Hsieh	Block LDA and Gradient Image for Face Recognition.	IEA/AIE	2009	DBLP DOI BibTeX RDF	Face recognition, linear discriminant analysis, small sample size problem
37	Hakan Cevikalp, Marian Neamtu, D. Mitch Wilkes, Atalay Barkana	Discriminative Common Vectors for Face Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF	Common vectors, discriminative common vectors, Fisher's linear discriminant analysis, face recognition, principal component analysis, subspace methods, small sample size
37	Nosan Kwak, In-Kyu Kim, Heon-Cheol Lee, Beom Hee Lee 0001	Adaptive prior boosting technique for the efficient sample size in fastSLAM.	IROS	2007	DBLP DOI BibTeX RDF
36	Raj Rao Nadakuditi, Alan Edelman	Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
35	Marina Skurichina, Robert P. W. Duin	Bagging, Boosting and the Random Subspace Method for Linear Classifiers.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Training sample size, Boosting, Bagging, Combining classifiers, Random subspaces, Linear classifiers
35	Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski	Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers.	IJCNN	2007	DBLP DOI BibTeX RDF
35	Dale Goodhue, William Lewis, Ronald L. Thompson	PLS, Small Sample Size, and Statistical Power in MIS Research.	HICSS	2006	DBLP DOI BibTeX RDF
34	Xavier Mestre	On the Asymptotic Behavior of the Sample Estimates of Eigenvalues and Eigenvectors of Covariance Matrices.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
33	Angela Sara Cacciapuoti, Giacinto Gelli, Luigi Paura, Francesco Verde	Widely Linear Versus Linear Blind Multiuser Detection With Subspace-Based Channel Estimation: Finite Sample-Size Effects.	IEEE Trans. Signal Process.	2009	DBLP DOI BibTeX RDF
33	Changyou Chen, Junping Zhang, Rudolf Fleischer	Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition.	ICB	2009	DBLP DOI BibTeX RDF	multi-linear tensor, dimension reduction, gait recognition, Subspace learning, small sample size problem
33	Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski	Two-Way Analysis of High-Dimensional Collinear Data.	ECML/PKDD (1)	2009	DBLP DOI BibTeX RDF	multi-way analysis, factor analysis, hierarchical model, ANOVA, small sample-size, metabolomics
33	Alok Sharma, Kuldip K. Paliwal	A Gradient Linear Discriminant Analysis for Small Sample Sized Problem.	Neural Process. Lett.	2008	DBLP DOI BibTeX RDF	Gradient linear discriminant analysis, Fisher’s criterion function, Dimensionality reduction, Small sample size problem
33	Wen-Sheng Chen, Pong Chi Yuen, Jian Huang 0009, Jian-Huang Lai, Jianliang Tang	A Novel Regularized Fisher Discriminant Method for Face Recognition Based on Subspace and Rank Lifting Scheme.	ACII	2005	DBLP DOI BibTeX RDF	Face recognition, linear discriminant analysis, small sample size problem, Null space, Regularized method
33	Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner	Reducing the Overconfidence of Base Classifiers when Combining Their Decisions.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF	multiple classification systems, fusion rule, BKS method, local classifiers, apparent error, complexity, sample size, stacked generalization
33	Cairong Zou, Ning Sun 0001, Zhen-hai Ji, Li Zhao 0003	2DCCA: A Novel Method for Small Sample Size Face Recognition.	WACV	2007	DBLP DOI BibTeX RDF
32	Wen-Sheng Chen, Pong Chi Yuen, Jian Huang 0009, Jian-Huang Lai	Face Classification based on Shannon Wavelet Kernel and Modified Fisher Criterion.	FGR	2006	DBLP DOI BibTeX RDF	Face classification, Fisher discriminant analysis, Wavelet, Kernel method, Small sample size problem
32	Sarunas Raudys	Generalization Error of Multinomial Classifier.	SSPR/SPR	2006	DBLP DOI BibTeX RDF	BKS rule, Imbalan-ced training sets, Multinomial classifier, Complexity, Learning, Generalization error, Sample size
32	Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita	A Bootstrap Technique for Nearest Neighbor Classifier Design.	IEEE Trans. Pattern Anal. Mach. Intell.	1997	DBLP DOI BibTeX RDF	peaking phenomenon, small training sample size, Bootstrap, outlier, error rate, nearest neighbor classifier, high dimensions
32	Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis, Ofer Zeitouni	PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	probably approximately correct learning, generalized samples, sample size bounds, signal processing, signal processing, stochastic processes, geometry, learning systems, PAC learning, stochastic geometry, curve reconstruction, geometric reconstruction
31	Surong Wang, Manoranjan Dash, Liang-Tien Chia	Efficient Sampling: Application to Image Data.	PAKDD	2005	DBLP DOI BibTeX RDF	classification, image processing, Sampling, association rule mining, frequency estimation
31	Rainer Gemulla, Wolfgang Lehner	Sampling time-based sliding windows in bounded space.	SIGMOD Conference	2008	DBLP DOI BibTeX RDF	data stream sampling, sliding window sampling, uniform sampling, stratified sampling
30	Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita	On the Behavior of Artificial Neural Network Classifiers in High-Dimensional Spaces.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	training sample size, peaking phenomenon, 1-NN classifier, Parzen classifier, Artificial neural networks, dimensionality, generalization error
30	Xavier Mestre, Miguel Angel Lagunas	Finite sample size effect on minimum variance beamformers: optimum diagonal loading factor for large arrays.	IEEE Trans. Signal Process.	2006	DBLP DOI BibTeX RDF
29	Lin Mei, Michael Figl, Ara Darzi, Daniel Rueckert, Philip J. Edwards	Sample Sufficiency and PCA Dimension for Statistical Shape Models.	ECCV (4)	2008	DBLP DOI BibTeX RDF
29	Monika Pobiruchin, Meinhard Kieser	Sample Size Calculation and Blinded Sample Size Recalculation in Clinical Trials Where the Treatment Effect is Measured by the Relative Risk.	Commun. Stat. Simul. Comput.	2013	DBLP DOI BibTeX RDF
28	Dake Zhou, Zhenmin Tang	Kernel-based improved discriminant analysis and its application to face recognition.	Soft Comput.	2010	DBLP DOI BibTeX RDF	Kernel discriminant analysis (KDA), Small sample size (SSS), Feature extraction, Face recognition, Kernel method
28	Suicheng Gu, Ying Tan 0002, Xingui He	Orthogonal Quadratic Discriminant Functions for Face Recognition.	ISNN (3)	2009	DBLP DOI BibTeX RDF	Orthogonal quadratic discriminant functions (OQDF), modified quadratic discriminant function (MQDF), small sample size (SSS), face recognition (FR), Laplacian Smoothing Transform(LST), Fisher’s linear discriminant(FLD)
28	Riadh Ksantini, Boubakeur Boufama	A Novel Bayesian Logistic Discriminant Model with Dirichlet Distributions: An Application to Face Recognition.	ICIAR	2009	DBLP DOI BibTeX RDF	Dirichlet Distribuion, Face Recognition, Logistic Regression, Linear Discriminant Analysis, Variational Method, Small Sample Size Problem, Bayesian Theory
28	Gopi Goswami, Jun S. Liu	On learning strategies for evolutionary Monte Carlo.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Adaptive directional sampling, Effective sample size, Mixture normal, Parallel tempering, Snooker algorithm, Temperature ladder, Neural networks
28	Zoran Stejic, Yasufumi Takama, Kaoru Hirota	Variants of evolutionary learning for interactive image retrieval.	Soft Comput.	2007	DBLP DOI BibTeX RDF	Small sample size performance, Retrieval performance evaluation, Evolutionary algorithms, Image retrieval, Relevance feedback
28	Sarunas Raudys, Ausra Saudargiene	First-Order Tree-Type Dependence between Variables and Classification Performance.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	First-order tree-type dependence, classification, generalization, dimensionality, sample size, a priori information
28	Dinesh Nair, Amar Mitiche, Jake K. Aggarwal	On comparing the performance of object recognition systems.	ICIP	1995	DBLP DOI BibTeX RDF	statistical indicators, algorithmic indicators, Kruskal-Wallis H test, space complexity measures, time complexity measures, performance curves, test data sample size, computational complexity, object recognition, statistical analysis, pattern classification, error, performance comparison, pattern classifiers, object recognition systems
28	Rui Huang, Qingshan Liu 0001, Hanqing Lu, Songde Ma	Solving the Small Sample Size Problem of LDA.	ICPR (3)	2002	DBLP DOI BibTeX RDF
27	Shusaku Tsumoto, Shoji Hirano	Distribution of Determinants of Contingency Matrix.	RSCTC	2006	DBLP DOI BibTeX RDF
26	Melody Y. Kiang, Michael Y. Hu, Dorothy M. Fisher, Robert T. H. Chi	The Effect of Sample Size on the Extended Self-Organizing Map Network for Market Segmentation.	HICSS	2005	DBLP DOI BibTeX RDF	SOM Neural Network, Extended SOM Network, K-means Cluster Analysis, Factor Analysis, Sample Sizes, Market Segmentation
26	Lin Mei, Michael Figl, Daniel Rueckert, Ara Darzi, Philip J. Edwards	Sample Sufficiency and Number of Modes to Retain in Statistical Shape Modelling.	MICCAI (1)	2008	DBLP DOI BibTeX RDF
26	Caiyan Jia, Ruqian Lu	Sampling Ensembles for Frequent Patterns.	FSKD (1)	2005	DBLP DOI BibTeX RDF
25	Florin Rusu, Alin Dobra	Sketching Sampled Data Streams.	ICDE	2009	DBLP DOI BibTeX RDF
25	Xavier Mestre	Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates.	IEEE Trans. Inf. Theory	2008	DBLP DOI BibTeX RDF
25	Neda Jahanshad, Agatha D. Lee, Natasha Leporé, Yi-Yu Chou, Caroline C. Brun, Marina Barysheva, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Paul M. Thompson	Genetics of Anisotropy Asymmetry: Registration and Sample Size Effects.	MICCAI (1)	2009	DBLP DOI BibTeX RDF
25	J. Michael Herrmann, Fabian J. Theis	Statistical Analysis of Sample-Size Effects in ICA.	IDEAL	2007	DBLP DOI BibTeX RDF
25	Yu-Jie Zheng, Jing-Yu Yang 0001, Jian Yang 0003, Xiaojun Wu 0001	Effective classification image space which can solve small sample size problem.	ICPR (2)	2006	DBLP DOI BibTeX RDF
25	Fang-Xiang Wu, Wen-Jun Zhang 0001, Anthony J. Kusalik	On Determination of Minimum Sample Size for Discovery of Temporal Gene Expression Patterns.	IMSCCS (1)	2006	DBLP DOI BibTeX RDF
25	Wei-Shi Zheng 0001, Jian-Huang Lai, Pong Chi Yuen	Fast Calculation for Fisher Criteria in Small Sample Size Problem.	SINOBIOMETRICS	2004	DBLP DOI BibTeX RDF
25	Fang-Xiang Wu, Wen-Jun Zhang 0001, Anthony J. Kusalik	Determination of the Minimum Sample Size in Microarray Experiments to Cluster Genes Using K-means Clustering.	BIBE	2003	DBLP DOI BibTeX RDF
24	Toshiya Itoh, Yoshinori Takei, Jun Tarui	On the sample size of k-restricted min-wise independent permutations and other k-wise distributions.	STOC	2003	DBLP DOI BibTeX RDF	higher incidence matrices, linear algebra methods, min-wise independent permutations, k-wise independence
24	Tetsuro Kakeshita 0001, Miyuki Murata	Specification-Based Component Retrieval by Means of Examples.	DANTE	1999	DBLP DOI BibTeX RDF	Information Retrieval, Software Reuse, Sample, User Assistance, Componentware
24	Hakan Cevikalp, Marian Neamtu, D. Mitch Wilkes	Discriminative Common Vector Method With Kernels.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
23	Petr Somol, Jana Novovicová	Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	feature stability, sequential search, individual ranking, feature subset-size optimization, Feature selection, similarity measures, high dimensionality, small sample size, stability measures
23	Carlos E. Thomaz, Gilson Antonio Giraldi	Discriminant Eigenfaces: A New Ranking Method for Principal Components Analysis.	SBIA	2008	DBLP DOI BibTeX RDF	Separating Hyperplanes, Principal Components Analysis, EigenFaces, Small Sample Size Problems
23	Boaz Lerner, Josepha Yeshaya, Lev Koushnir	On the Classification of a Small Imbalanced Cytogenetic Image Database.	IEEE ACM Trans. Comput. Biol. Bioinform.	2007	DBLP DOI BibTeX RDF	genetic diagnosis, naive Bayesian classifier (NBC), Classification, dimensionality reduction, multilayer perceptron (MLP), imbalanced data, small sample size
23	Fengxi Song, David Zhang 0001, Qinglong Chen, Jizhong Wang	Face recognition based on a novel linear discriminant criterion.	Pattern Anal. Appl.	2007	DBLP DOI BibTeX RDF	Binary linear classifier, Face recognition, Pattern classification, Small sample size problem, Multi-objective programming, Fisher linear discriminant
23	Sarunas Raudys, Antanas Mitasiunas	Multi-agent System Approach to React to Sudden Environmental Changes.	MLDM	2007	DBLP DOI BibTeX RDF	Neural networks, Multi-agent systems, Learning, Generalization, Evolution, Dimensionality, Sample size
23	E. Jack Chen	Comparison with a Standard via All-Pairwise Comparisons.	Discret. Event Dyn. Syst.	2006	DBLP DOI BibTeX RDF	Simulaton, Comparison with a standard, Sample-size allocation, Indifference-zone selection
23	E. Jack Chen	Using Ordinal Optimization Approach to Improve Efficiency of Selection Procedures.	Discret. Event Dyn. Syst.	2004	DBLP DOI BibTeX RDF	ordinal optimization, sample-size allocation, indifference-zone selection, simulation
23	Marina Skurichina, Ludmila Kuncheva, Robert P. W. Duin	Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
23	Jian Yang 0003, Jing-Yu Yang 0001, David Zhang 0001	Median Fisher Discriminator: a robust feature extraction method with applications to biometrics.	Frontiers Comput. Sci. China	2008	DBLP DOI BibTeX RDF	Fisher linear discriminant analysis (LDA), palm recognition, feature extraction, face recognition, biometrics
22	Yulin He, Jiaqi Chen, Jiaxing Shen, Philippe Fournier-Viger, Joshua Zhexue Huang	Density estimation-based method to determine sample size for random sample partition of big data.	Frontiers Comput. Sci.	2024	DBLP DOI BibTeX RDF
22	Bin Zhang 0045, Chang Xia	The effects of sample size and sample prevalence on cellular automata simulation of urban growth.	Int. J. Geogr. Inf. Sci.	2022	DBLP DOI BibTeX RDF
22	Biplab Paul, Shyamal K. De, Anil Kumar Ghosh 0001	Some clustering-based exact distribution-free k-sample tests applicable to high dimension, low sample size data.	J. Multivar. Anal.	2022	DBLP DOI BibTeX RDF
22	Jinpu Li, Ryan P. Knigge, Kaiyi Chen, Emily V. Leary	PASSED: Calculate Power and Sample Size for Two Sample Tests.	R J.	2021	DBLP DOI BibTeX RDF
22	Zhong-Sheng Chen, Qunxiong Zhu, Yuan Xu, Yan-Lin He, Qinglin Su, Yiqing C. Liu, Zoltán K. Nagy	Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system.	Soft Comput.	2021	DBLP DOI BibTeX RDF
22	Zhong-Sheng Chen, Kun-Rui Hou, Mei-Yu Zhu, Yuan Xu, Qunxiong Zhu	A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process.	Appl. Soft Comput.	2021	DBLP DOI BibTeX RDF
22	Soham Sarkar, Rahul Biswas, Anil Kumar Ghosh 0001	On some graph-based two-sample tests for high dimension, low sample size data.	Mach. Learn.	2020	DBLP DOI BibTeX RDF
22	Qunxiong Zhu, Zhong-Sheng Chen, Xiao-Han Zhang, Abbas Rajabifard, Yuan Xu, Yiqun Chen	Dealing with small sample size problems in process industry using virtual sample generation: a Kriging-based approach.	Soft Comput.	2020	DBLP DOI BibTeX RDF
22	Chengyong Zheng, Ningning Wang, Jing Cui	Hyperspectral Image Classification With Small Training Sample Size Using Superpixel-Guided Training Sample Enlargement.	IEEE Trans. Geosci. Remote. Sens.	2019	DBLP DOI BibTeX RDF
22	Mohammad O. Wedyan, Alessandro Crippa, Adel Al-Jumaily	A Novel Virtual Sample Generation Method to Overcome the Small Sample Size Problem in Computer Aided Medical Diagnosing.	Algorithms	2019	DBLP DOI BibTeX RDF
22	Jordi Serra	Shrinkage corrections of sample linear estimators in the small sample size regime.		2016	RDF
22	Johannes O. Royset	On sample size control in sample average approximations for solving smooth stochastic programs.	Comput. Optim. Appl.	2013	DBLP DOI BibTeX RDF
22	Shashibhushan B. Mahadik	Variable Sample Size and Sampling Interval X¯ Charts with Runs Rules for Switching Between Sample Sizes and Sampling Interval Lengths.	Qual. Reliab. Eng. Int.	2013	DBLP DOI BibTeX RDF
22	Manli Zhu, Aleix M. Martínez	Using the information embedded in the testing sample to break the limits caused by the small sample size in microarray-based classification.	BMC Bioinform.	2008	DBLP DOI BibTeX RDF
22	Tommy S. Jørstad, Herman Midelfart, Atle M. Bones	A mixture model approach to sample size estimation in two-sample comparative microarray experiments.	BMC Bioinform.	2008	DBLP DOI BibTeX RDF
22	Anand A. Paul, Genaro Gutierrez	Mean sample spacings, sample size and variability in an auction-theoretic framework.	Oper. Res. Lett.	2004	DBLP DOI BibTeX RDF
22	Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang	Progressive Sampling for Association Rules Based on Sampling Error Estimation.	PAKDD	2005	DBLP DOI BibTeX RDF
22	Srinivasan Parthasarathy 0001	Efficient Progressive Sampling for Association Rules.	ICDM	2002	DBLP DOI BibTeX RDF
21	Margarita Sordo, Qing T. Zeng	On Sample Size and Classification Accuracy: A Performance Comparison.	ISBMDA	2005	DBLP DOI BibTeX RDF
21	Kristen B. Hunter, Luke Miratrix, Kristin Porter	PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments.	J. Stat. Softw.	2024	DBLP DOI BibTeX RDF
21	Edwin S. Dalmaijer	Tutorial: a priori estimation of sample size, effect size, and statistical power for cluster analysis, latent class analysis, and multivariate mixture models.	CoRR	2023	DBLP DOI BibTeX RDF
21	Naoufel Cheikhrouhou, Biswajit Sarkar, Baishakhi Ganguly, Asif Iqbal Malik, Rafael Batista, Young Hae Lee	Optimization of sample size and order size in an inventory model with quality inspection and return of defective items.	Ann. Oper. Res.	2018	DBLP DOI BibTeX RDF
21	Daniele De Martini	Robustness and Corrections for Sample Size Adaptation Strategies Based on Effect Size Estimation.	Commun. Stat. Simul. Comput.	2011	DBLP DOI BibTeX RDF
21	V. Indira, R. Vasanthakumari, N. R. Sakthivel, V. Sugumaran	Determination of sample size using power analysis and optimum bin size of histogram features.	Int. J. Data Anal. Tech. Strateg.	2011	DBLP DOI BibTeX RDF
21	Wheyming Tina Song, Mingchang Chih	Implementable MSE-optimal dynamic partial-overlapping batch means estimators for steady-state simulations.	WSC	2008	DBLP DOI BibTeX RDF
21	Tova Milo, Assaf Sagi, Elad Verbin	Compact Samples for Data Dissemination.	ICDT	2007	DBLP DOI BibTeX RDF
20	Juyang Weng, Wey-Shiuan Hwang	Incremental Hierarchical Discriminant Regression.	IEEE Trans. Neural Networks	2007	DBLP DOI BibTeX RDF
20	Juyang Weng, Wey-Shiuan Hwang	Online image classification using IHDR.	Int. J. Document Anal. Recognit.	2003	DBLP DOI BibTeX RDF
20	Juyang Weng, Wey-Shiuan Hwang	Incremental Hierarchical Discriminant Regression for Online Image Classification.	ICDAR	2001	DBLP DOI BibTeX RDF
20	Wey-Shiuan Hwang, Juyang Weng	Hierarchical Discriminant Regression for Incremental and Real-Time Image Classification.	IDEAL	2000	DBLP DOI BibTeX RDF