Search results for "samples"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
53	Louis Feng, Ingrid Hotz, Bernd Hamann, Kenneth I. Joy	Anisotropic Noise Samples.	IEEE Trans. Vis. Comput. Graph.	2008	DBLP DOI BibTeX RDF
53	Dacheng Tao, Xuelong Li 0001, Stephen J. Maybank	Negative Samples Analysis in Relevance Feedback.	IEEE Trans. Knowl. Data Eng.	2007	DBLP DOI BibTeX RDF	relevance feedback (RF), marginal convex machine (MCM), biased marginal convex machine (BMCM), kernel marginal convex machine (KMCM), kernel biased marginal convex machine (KBMCM), Content-based image retrieval (CBIR)
49	Cristian Estan, Jeffrey F. Naughton	End-biased Samples for Join Cardinality Estimation.	ICDE	2006	DBLP DOI BibTeX RDF
47	Gunawan Herman, Getian Ye, Jie Xu 0008, Bang Zhang	Improving object detection by removing noisy samples from training sets.	Multimedia Information Retrieval	2008	DBLP DOI BibTeX RDF	data pruning, noisy samples, recursive bayes, adaboost
47	Konstantinos Psounis, Balaji Prabhakar	Efficient randomized web-cache replacement schemes using samples from past eviction times.	IEEE/ACM Trans. Netw.	2002	DBLP DOI BibTeX RDF	cache replacement scheme, past samples, World Wide Web (WWW), randomized algorithm, web caching
46	Fang Qian, Mingjing Li, HongJiang Zhang, Wei-Ying Ma, Bo Zhang 0010	Alternating Feature Spaces in Relevance Feedback.	Multim. Tools Appl.	2003	DBLP DOI BibTeX RDF	complementary features, representative training samples, image retrieval, relevance feedback
45	Ming Li 0005, Zhi-Hua Zhou	Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples.	IEEE Trans. Syst. Man Cybern. Part A	2007	DBLP DOI BibTeX RDF
45	Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Marzuki Khalid, Wen Jau Lee, Vladimir Pavlovic 0001	A Non-linear Function Approximation from Small Samples Based on Nadaraya-Watson Kernel Regression.	CICSyN	2010	DBLP DOI BibTeX RDF	Nadaraya-Watson kernel regression, artificial samples, non-linear function, neural network, small samples
43	Xin Fu, Miao Chen	Exploring the Stability of IDF Term Weighting.	AIRS	2008	DBLP DOI BibTeX RDF	feature oriented samples, stability, random samples, term weighting, inverse document frequency, term frequency
43	George Wolberg	Nonuniform Image Reconstruction Using Multilevel Surface Interpolation.	ICIP (1)	1997	DBLP DOI BibTeX RDF	nonuniform image reconstruction, multilevel surface interpolation, multiresolution approach, C/sup 2/-continuous surface, irregularly spaced samples, coarse-to-fine hierarchy, control lattices, high fidelity reconstruction, sparse samples, image reconstruction
43	Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang	Classification Algorithm Based on Feature Selection and Samples Selection.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Classification, Support Vector Machine, Feature Selection, Rough Set Theory, Samples Selection
43	Robert McCaa, Steven Ruggles, Michael J. Davern, Tami Swenson, Krishna Mohan Palipudi	IPUMS-International High Precision Population Census Microdata Samples: Balancing the Privacy-Quality Tradeoff by Means of Restricted Access Extracts.	Privacy in Statistical Databases	2006	DBLP DOI BibTeX RDF	Census microdata samples, IPUMS-International, data quality, data privacy
43	Jianping Fan 0001, Hangzai Luo	Semantic video classification by integrating unlabeled samples for classifier training.	SIGIR	2004	DBLP DOI BibTeX RDF	finite mixture models, semantic video classification, adaptive EM algorithm, unlabeled samples
41	Qinghua Hu, Daren Yu, Zongxia Xie	Selecting Samples and Features for SVM Based on Neighborhood Model.	RSFDGrC	2007	DBLP DOI BibTeX RDF	neighborhood rough sets, SVM, feature selection, sample selection
38	Jianping Fan 0001, Hangzai Luo, Jing Xiao 0001, Lide Wu	Semantic video classification and feature subset selection under context and concept uncertainty.	JCDL	2004	DBLP DOI BibTeX RDF	context and concept uncertainty, semantic video classification, adaptive EM algorithm, unlabeled samples
38	Anne Smith, Lisa Anderson, Robert Samples, Viet Nguyen	Enabling Interoperable Electronic Quality Measurement using HL7 FHIR®.	AMIA	2019	DBLP BibTeX RDF
38	Shanshan Chen, Adam T. Barth, Jeffery T. Barth, Bradford C. Bennett, Maïté Brandt-Pearce, Donna K. Broshek, Jason R. Freeman, Hillary L. Samples, John C. Lach	Aiding diagnosis of normal pressure hydrocephalus with enhanced gait feature separability.	Wireless Health	2012	DBLP DOI BibTeX RDF
38	Michael E. Samples, Matthew J. Byom, Jason M. Daida	Parameter Sweeps for Exploring Parameter Spaces of Genetic and Evolutionary Algorithms.	Parameter Setting in Evolutionary Algorithms	2007	DBLP DOI BibTeX RDF
38	Michael R. James 0001, Michael E. Samples, Dmitri A. Dolgov	Improving Anytime Point-Based Value Iteration Using Principled Point Selections.	IJCAI	2007	DBLP BibTeX RDF
38	Dmitri A. Dolgov, Michael R. James 0001, Michael E. Samples	Combinatorial resource scheduling for multiagent MDPs.	AAMAS	2007	DBLP DOI BibTeX RDF	task and resource allocation in agent systems, multiagent planning
38	Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen, Michael E. Samples, Rini Sherony	Evolving a real-world vehicle warning system.	GECCO	2006	DBLP DOI BibTeX RDF	vehicle, neuroevolution, NEAT, real world
38	Michael E. Samples, Jason M. Daida, Matthew J. Byom, Matt Pizzimenti	Parameter sweeps for exploring GP parameters.	GECCO	2005	DBLP DOI BibTeX RDF	distributed computation, evolutionary computation, data reduction, experiment management, parameter sweep
38	Jason M. Daida, Michael E. Samples, Matthew J. Byom	Probing for limits to building block mixing with a tunably-difficult problem for genetic programming.	GECCO	2005	DBLP DOI BibTeX RDF	Highlander problem, tunably-difficult problems, building blocks, initial populations
38	Michael E. Samples, Jason M. Daida, Matthew J. Byom, Matt Pizzimenti	Parameter sweeps for exploring GP parameters.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	distributed computation, evolutionary computation, data reduction, experiment management, parameter sweep
38	Jason M. Daida, Michael E. Samples, Bryan T. Hart, Jeffry Halim, Aditya Kumar	Demonstrating constraints to diversity with a tunably difficult problem for genetic programming.	IEEE Congress on Evolutionary Computation	2004	DBLP DOI BibTeX RDF
38	A. Dain Samples	GC-cooperative C++.	IWMM	1992	DBLP DOI BibTeX RDF
38	A. Dain Samples	Compiler Implementation of ADTs Using Profile Data.	CC	1992	DBLP DOI BibTeX RDF
38	A. Dain Samples	Mache: No-Loss Trace Compaction.	SIGMETRICS	1989	DBLP DOI BibTeX RDF
38	William R. Bush, A. Dain Samples, David M. Ungar, Paul N. Hilfinger	Compiling Smalltalk-80 to a RISC.	ASPLOS	1987	DBLP DOI BibTeX RDF	RISC, Smalltalk-80
38	A. Dain Samples, David M. Ungar, Paul N. Hilfinger	SOAR: Smalltalk Without Bytecodes.	OOPSLA	1986	DBLP DOI BibTeX RDF
38	David M. Ungar, Ricki Blau, Peter Foley, A. Dain Samples, David A. Patterson 0001	Architecture of SOAR: Smalltalk on a RISC.	ISCA	1984	DBLP DOI BibTeX RDF
37	Kwong-Sak Leung, Kin-Hong Lee, Sin Man Cheang	Balancing Samples' Contributions on GA Learning.	ICES	2001	DBLP DOI BibTeX RDF
37	Swarup Acharya, Phillip B. Gibbons, Viswanath Poosala	Congressional Samples for Approximate Answering of Group-By Queries.	SIGMOD Conference	2000	DBLP DOI BibTeX RDF
35	Ling Luo, Xiying Li	A Method to Search for Color Segmentation Threshold in Traffic Sign Detection.	ICIG	2009	DBLP DOI BibTeX RDF	positive samples, negative samples, threshold search, color segmentation
35	James Allen Fill, Mark Huber	The Randomness Recycler: A New Technique for Perfect Sampling.	FOCS	2000	DBLP DOI BibTeX RDF	randomness recycler, perfect sampling, approximately random samples, output samples, target distribution, classical Markov chain approaches, RR-based algorithm, perfect sampling methods, restricted instances, first expected linear time algorithms, sample generation, self-organizing lists, random independent sets, random colorings, random cluster model, RR protocol, graph theory, probability, Markov chains, probability distributions, random processes, mixing time, sampling methods, Ising model, self-adjusting systems
35	Chin-Hwa Lee	Image Surface Approximation with Irregular Samples.	IEEE Trans. Pattern Anal. Mach. Intell.	1989	DBLP DOI BibTeX RDF	image surface approximation, spline knots, data compression, data compression, computerised picture processing, computerised picture processing, splines (mathematics), compression ratio, reconstruction error, irregular samples
34	Akinori Fujino, Naonori Ueda, Kazumi Saito	Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	bias correction, text classification, generative model, maximum entropy principle, unlabeled samples
34	Rui Wang 0004, Wei Hua, Zilong Dong, Qunsheng Peng 0001, Hujun Bao	Synthesizing trees by plantons.	Vis. Comput.	2006	DBLP DOI BibTeX RDF	Modeling from samples, Markov model, Image-based modeling, Tree modeling
34	Tova Milo, Assaf Sagi, Elad Verbin	Compact Samples for Data Dissemination.	ICDT	2007	DBLP DOI BibTeX RDF
34	Yunming Ye, Fanyuan Ma, Yiming Lu, Matthew Chiu, Joshua Zhexue Huang	iSurfer: A Focused Web Crawler Based on Incremental Learning from Positive Samples.	APWeb	2004	DBLP DOI BibTeX RDF	Positive Sample Based Learning, Incremental Learning, Web Page Classification, Link Prediction, Focused Crawler
32	Yonghong Shi, Dinggang Shen	Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs.	MICCAI (1)	2008	DBLP DOI BibTeX RDF	Hierarchical shape statistics, Active shape model, Chest radiograph
32	Andrew T. Smith 0001, Charles Elkan	Making generative classifiers robust to selection bias.	KDD	2007	DBLP DOI BibTeX RDF	generative classifiers, reject inference, semi-supervised learning, sample selection bias
32	Ilya Baran, Erik D. Demaine	Optimal adaptive algorithms for finding the nearest and farthest point on a parametric black-box curve.	SCG	2004	DBLP DOI BibTeX RDF	adaptive algorithms, curves
32	Benny Y. M. Fung, Vincent T. Y. Ng	Classification of heterogeneous gene expression data.	SIGKDD Explor.	2003	DBLP DOI BibTeX RDF	significance analysis of microarrays, classification, feature selection, gene expression data
31	Paul Thomas 0001, Milad Shokouhi	SUSHI: scoring scaled samples for server selection.	SIGIR	2009	DBLP DOI BibTeX RDF	document samples
31	Jianfu Chen, Xingming Zhang 0001, Jinsheng Li	Face Verification Based on AdaBoost Learning for Histogram of Gabor Phase Patterns (HGPP) Selection and Samples Synthesis with Quotient Image Method.	ICIC (1)	2008	DBLP DOI BibTeX RDF	Gabor Phase, HGPP, Quotient Image, Synthesize Samples, AdaBoost, Illumination invariance, Face Verification
31	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
30	Hangzai Luo, Jianping Fan 0001, Xiaodong Lin 0004, Aoying Zhou, Elisa Bertino	A distributed approach to enabling privacy-preserving model-based classifier training.	Knowl. Inf. Syst.	2009	DBLP DOI BibTeX RDF	Privacy-preserving classifier training, Synthetic samples, Adaptive EM algorithm
30	Hangzai Luo, Yuli Gao, Xiangyang Xue, Jinye Peng, Jianping Fan 0001	Incorporating feature hierarchy and boosting to achieve more effective classifier training and concept-oriented video summarization and skimming.	ACM Trans. Multim. Comput. Commun. Appl.	2008	DBLP DOI BibTeX RDF	concept-oriented video skimming, feature hierarchy, multi-modal boosting, salient objects, Semantic video classification, unlabeled samples
30	Suresh Thummalapenta, Tao Xie 0001	Parseweb: a programmer assistant for reusing open source code on the web.	ASE	2007	DBLP DOI BibTeX RDF	code examples, code search engine, ranking code samples, code reuse
30	Simone G. O. Fiori	Neural Systems with Numerically-Matched Input-Output Statistic: Variate Generation.	Neural Process. Lett.	2006	DBLP DOI BibTeX RDF	look-up-table based neural systems, pseudo-random samples generation, probability density function, fixed-point iteration
30	Chen-Yang Pan, Kwang-Ting Cheng	Implicit functional testing for analog circuits.	VTS	1996	DBLP DOI BibTeX RDF	implicit functional testing, linear time-invariant circuits, impulse response samples, pseudo-random technique, production testing time, yield coverages, VLSI, integrated circuit testing, fault coverage, analog circuits, analogue integrated circuits, mixed analogue-digital integrated circuits, transient response
30	Stanley J. Reeves, Rahmi Hezar	Selection of observations in magnetic resonance spectroscopic imaging.	ICIP	1995	DBLP DOI BibTeX RDF	magnetic resonance spectroscopic imaging, spectral information, reconstructed image quality, least-squares reconstruction, region of support, Wiener filter reconstruction, k-space acquisition process, k-space samples, MRI phantom, optimization, optimisation, image reconstruction, MRI, medical image processing, image resolution, least squares approximations, filtering theory, spatial information, image sampling, biomedical NMR, Wiener filters, high resolution image
30	Tsutomu Matsunaga, Hiromi Kida	An experimental study of learning curves for statistical pattern classifiers.	ICDAR	1995	DBLP DOI BibTeX RDF	statistical pattern classifiers, pattern distributions, misclassification, pattern classification, learning curves, asymptotic behaviors, pattern classifiers, training samples
30	Jin Yuan, Zheng-Jun Zha, Zhengdong Zhao, Xiangdong Zhou, Tat-Seng Chua	Utilizing related samples to learn complex queries in interactive concept-based video search.	CIVR	2010	DBLP DOI BibTeX RDF	concept-based video search, related sample, interactive search
30	Tianjiang Wang, Gang Chen, Perfecto Herrera	Music retrieval based on a multi-samples selection strategy for support vector machine active learning.	SAC	2009	DBLP DOI BibTeX RDF	support vector machine, relevance feedback, active learning, music retrieval, selection strategy
30	Pablo López-Espí, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Emilio G. Ortíz-García, Oscar Alonso-Garrido, Antonio Portilla-Figueras	Estimating the Concentration of Nitrates in Water Samples Using PSO and VNS Approaches.	EvoWorkshops	2009	DBLP DOI BibTeX RDF
30	Donghai Guan, Young-Koo Lee, Sungyoung Lee	Activity recognition with the aid of unlabeled samples.	ICUIMC	2009	DBLP DOI BibTeX RDF	semi-supervised learning, supervised learning, activity recognition, noise filtering
30	Ivan Tomov Dimov, Stanislava S. Stoilova, N. Mitev	Diaphony of Uniform Samples over Hemisphere and Sphere.	NAA	2008	DBLP DOI BibTeX RDF
30	Alexander Vezhnevets, Olga Barinova	Avoiding Boosting Overfitting by Removing Confusing Samples.	ECML	2007	DBLP DOI BibTeX RDF
30	Woojin Chang	Reliable Keystroke Biometric System Based on a Small Number of Keystroke Samples.	ETRICS	2006	DBLP DOI BibTeX RDF	Keystroke Biometric System, Hierarchical tree-based classification, Discrete Wavelet Transform, Resampling, Training set
30	Zhigang Liu 0012, Wenzhong Shi, Deren Li, Qianqing Qin	Partially Supervised Classification - Based on Weighted Unlabeled Samples Support Vector Machine.	ADMA	2005	DBLP DOI BibTeX RDF
30	Xuesong Lu, Yanda Li, Xuegong Zhang	A simple strategy for detecting outlier samples in microarray data.	ICARCV	2004	DBLP DOI BibTeX RDF
30	Zoran Cvetkovic, Benjamin F. Logan, Ingrid Daubechies	Interpolation of Bandlimited Functions from Quantized Irregular Samples.	DCC	2002	DBLP DOI BibTeX RDF
28	Gautam Thatte, Viktor Rozgic, Ming Li 0026, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, Donna Spruijt-Metz	Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection.	DCOSS	2009	DBLP DOI BibTeX RDF
28	Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey Gavrilov, Sungyoung Lee	Activity Recognition Based on Semi-supervised Learning.	RTCSA	2007	DBLP DOI BibTeX RDF
28	James Newsome, Brad Karp, Dawn Xiaodong Song	Paragraph: Thwarting Signature Learning by Training Maliciously.	RAID	2006	DBLP DOI BibTeX RDF
28	Jiao Wang, Siwei Luo	Semi-supervised Classification with Active Query Selection.	SSPR/SPR	2006	DBLP DOI BibTeX RDF
28	Xin Zhang 0004, Peter K. Willett, Yaakov Bar-Shalom	Monopulse Radar detection and localization of multiple unresolved targets via joint bin Processing.	IEEE Trans. Signal Process.	2005	DBLP DOI BibTeX RDF
28	Zejian Yuan, Nanning Zheng 0001, Yuehu Liu	A Cascaded Mixture SVM Classifier for Object Detection.	ISNN (1)	2005	DBLP DOI BibTeX RDF
28	Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk	A Semi-Supervised Learning Method for Remote Sensing Data Mining.	ICTAI	2005	DBLP DOI BibTeX RDF	semi-supervised learning, GMM, EM, MAP, MLE
28	Wende Zhang, Tsuhan Chen	Classification Based on Symmetric Maximized Minimal Distance in Subspace (SMMS).	CVPR (2)	2003	DBLP DOI BibTeX RDF
28	Abbadi Raji Reddy, Kalyanmoy Deb	Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms.	EMO	2003	DBLP DOI BibTeX RDF
28	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
27	Paulo Fernandes 0001, Lucelene Lopes, Duncan Dubugras A. Ruiz	The impact of random samples in ensemble classifiers.	SAC	2010	DBLP DOI BibTeX RDF	accuracy comparison, machine learning, boosting, random samples, bagging, ensemble classifiers
26	Tuan Trung Nguyen	Domain Knowledge Assimilation by Learning Complex Concepts.	RSCTC	2006	DBLP DOI BibTeX RDF	outlier samples, ontology matching, Rough mereology, handwritten digit recognition, concept approximation
26	Y. F. Sun, Yanchun Liang 0001, W. L. Zhang, H. P. Lee, W. Z. Lin, Lijuan Cao	Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting.	Neural Comput. Appl.	2005	DBLP DOI BibTeX RDF	Optimal partition algorithm, Ordered samples, Stock price prediction, Neural network, Radial basis function, Financial time series
26	Farshid Golchin, Kuldip K. Paliwal	Classified adaptive prediction and entropy coding for lossless coding of images.	ICIP (3)	1997	DBLP DOI BibTeX RDF	classified adaptive prediction, adaptive image coders, classification-based scheme, PCM domain, linear predictor, clustering procedures, bit-rate minimization, encoded image, monochrome images, compression, image samples, entropy codes, entropy coding, natural images, lossless coding, DPCM
26	Farshid Golchin, Kuldip K. Paliwal	Minimum-Entropy Clustering and its Application to Lossless Image Coding.	ICIP (2)	1997	DBLP DOI BibTeX RDF	lossless image coding, minimum-entropy clustering, discrete source, minimum entropy criterion, classified vector quantization, MEC algorithm, predictive image coder, correlated DPCM image, samples, image coding, entropy coding
26	Kenneth E. Barner, Russell C. Hardie	Extended permutation filters and their application to image edge enhancement.	ICIP	1995	DBLP DOI BibTeX RDF	extended permutation filters, image edge enhancement, extended permutation rank selection filters, extended observation vector, observation samples, extended observation space, EPRS filters, image restoration, image enhancement, nonlinear filters, filtering theory, order statistic, image sampling
26	Hichem H. Garnaoui, Ahmed H. Tewfik	Visual masking and the design of magnetic resonance image acquisition.	ICIP	1995	DBLP DOI BibTeX RDF	magnetic resonance image acquisition design, data acquisition schemes, frequency domain samples, k-space, imaging time, data compression, image coding, MRI, visual perception, medical image processing, image quality, data acquisition, human visual system, biomedical NMR, frequency-domain analysis, visual masking
26	Leonardo W. Estevez, Nasser Kehtarnavaz	Computer Assisted Enhancement of Mammograms for Detection of Microcalcifications.	CBMS	1995	DBLP DOI BibTeX RDF	computer-assisted mammogram enhancement, microcalcification detection, visual identification, false positive samples, general-purpose clustering algorithm, Issac, Interactive Selective and Adaptive Clustering, selective clustering, interactive adaptation, sensitive sample domains, clinical evaluation, routine reading session, generalization, interactive systems, object detection, medical image processing, sensitivity, breast cancer, generalisation (artificial intelligence), radiology, radiology
26	Shadi Abou-Zahra, Michael Cooper	WCAG 2.0 Test Samples Repository.	HCI (7)	2009	DBLP DOI BibTeX RDF
26	Amir Leshem, Alle-Jan van der Veen	Blind Source Separation: The Locationof Local Minima in the Case of Finitely Many Samples.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
26	Abhijit Pol, Christopher M. Jermaine, Subramanian Arumugam 0002	Maintaining very large random samples using the geometric file.	VLDB J.	2008	DBLP DOI BibTeX RDF
26	Alessandro Lazaric, Marcello Restelli, Andrea Bonarini	Transfer of samples in batch reinforcement learning.	ICML	2008	DBLP DOI BibTeX RDF
26	John Browning	Approximating Signals From Nonuniform Continuous Time Samples at Unknown Locations.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
26	Qing T. Zeng, Juan Pablo Pratt, Jane Pak, Eun-Young Kim, Dino Ravnic, Harold Huss, Steven J. Mentzer	Data Integration in Multi-dimensional Data Sets: Informational Asymmetry in the Valid Correlation of Subdivided Samples.	ISBMDA	2006	DBLP DOI BibTeX RDF	subdivided sample, flow cytometry, data integration, correlation
26	Annika Kuhl, Lars Krüger, Christian Wöhler, Ulrich Kressel	Training of Classifiers Using Virtual Samples Only.	ICPR (3)	2004	DBLP DOI BibTeX RDF
26	Chris Jermaine, Abhijit Pol, Subramanian Arumugam 0002	Online Maintenance of Very Large Random Samples.	SIGMOD Conference	2004	DBLP DOI BibTeX RDF
26	Tomoyuki Takahashi, Kazuo Toraichi, Keisuke Kameyama, Koji Nakamura	A Smooth Interpolation Method for Nonuniform Samples Based on Sampling Functions Composed of Piecewise Polynomials.	IEEE Pacific Rim Conference on Multimedia	2002	DBLP DOI BibTeX RDF
26	Oliver D. King, David A. Forsyth	How Does CONDENSATION Behave with a Finite Number of Samples?	ECCV (1)	2000	DBLP DOI BibTeX RDF
24	Du Jingyi, Wang Mei, Cai Wenhao	Support Vector Machine Based on Possibility Degrees and Fault Diagnosis.	IAS	2009	DBLP DOI BibTeX RDF
24	Si Chen, Gongde Guo, Lifei Chen	Semi-supervised Classification Based on Clustering Ensembles.	AICI	2009	DBLP DOI BibTeX RDF	clustering consistency, classification, semi-supervised learning, clustering ensembles
24	Murat Dundar, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, Bartek Rajwa	Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology.	KDD	2009	DBLP DOI BibTeX RDF	bacteria detection, nonexhaustive learning, anomaly detection, novelty detection, bayes classifier
24	Yuan Liu 0017, Tao Mei 0001, Jinhui Tang 0001, Xiuqing Wu, Xian-Sheng Hua 0001	Graph-Based Pairwise Learning to Rank for Video Search.	MMM	2009	DBLP DOI BibTeX RDF	graph-based learning, relation propagation, semi-supervised learning, learning to rank, video search
24	Evgeny Margolis, Yonina C. Eldar	Nonuniform Sampling of Periodic Bandlimited Signals.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
24	Hongjie Liu, Boqin Feng, Jianjie Wei	An Effective Data Classification Algorithm Based on the Decision Table Grid.	ACIS-ICIS	2008	DBLP DOI BibTeX RDF	data mining, classification, grid, kNN, decision table
24	Bin Fan, Zhen Lei 0001, Stan Z. Li	Normalized LDA for semi-supervised learning.	FG	2008	DBLP DOI BibTeX RDF
24	Xi-hong Qing, Jun-yi Xu, Fen-hong Guo, Ai-mu Feng, Wei Nin, Hua-xue Tao	An Adaptive Recursive Least Square Algorithm for Feed Forward Neural Network and Its Application.	ICIC (2)	2007	DBLP DOI BibTeX RDF	adaptive recursive regression, least square algorithms, residual oil, Voronoi graph, feed forward neural network, dynamical learning