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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 77 occurrences of 57 keywords
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Results
Found 89 publication records. Showing 89 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 3 | Shaohua Kevin Zhou, Rama Chellappa |
From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2006 |
DBLP DOI BibTeX RDF |
Ensemble similarity, Chernoff distance, Kullback-Leibler (KL) divergence/relative entropy, Patrick-Fisher distance, Mahalonobis distance, kernel methods, reproducing kernel Hilbert space, Bhattacharyya distance |
| 2 | Antonia Oya, Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina |
Numerical Evaluation of Reproducing Kernel Hilbert Space Inner Products.  |
IEEE Transactions on Signal Processing  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Jian-Wu Xu, António R. C. Paiva, Il Park 0002, José Carlos Príncipe |
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning.  |
IEEE Transactions on Signal Processing  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas |
Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer Prediction.  |
ICMLA  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus |
A reproducing kernel Hilbert space framework for pairwise time series distances.  |
ICML  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Shantanu Chakrabartty, Yunbin Deng, Gert Cauwenberghs |
Robust Speech Feature Extraction by Growth Transformation in Reproducing Kernel Hilbert Space.  |
IEEE Transactions on Audio, Speech & Language Processing  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Jaco A. Jordaan, Michaël A. van Wyk, Barend J. van Wyk |
Reproducing Kernel Hilbert Space Methods to Reduce Pulse Compression Sidelobes.  |
IDEAL  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Di-Rong Chen, Dao-Hong Xiang |
The consistency of multicategory support vector machines.  |
Adv. Comput. Math.  |
2006 |
DBLP DOI BibTeX RDF |
universal consistency, classification, support vector machine, consistency, reproducing kernel Hilbert space, Bayes rule, misclassification error |
| 2 | Qiang Wu, Yiming Ying, Ding-Xuan Zhou |
Learning Rates of Least-Square Regularized Regression.  |
Foundations of Computational Mathematics  |
2006 |
DBLP DOI BibTeX RDF |
Regularization error, Regularization scheme, Learning theory, Reproducing kernel Hilbert space, Covering number |
| 2 | Dongfang Zou |
Local Subspace Classifier in Reproducing Kernel Hilbert Space.  |
ICMI  |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Debarghya Ghoshdastidar, Ambedkar Dukkipati |
On q-Gaussian kernel and its Reproducing Kernel Hilbert Space  |
CoRR  |
2012 |
DBLP BibTeX RDF |
|
| 1 | Enrico Kaden, Frithjof Kruggel |
A Reproducing Kernel Hilbert Space Approach for Q-Ball Imaging.  |
IEEE Trans. Med. Imaging  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Xun Liang, Zhihao Ni |
Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space.  |
IEEE Transactions on Neural Networks  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Y. C. Hon, Tomoya Takeuchi |
Discretized Tikhonov regularization by reproducing kernel Hilbert space for backward heat conduction problem.  |
Adv. Comput. Math.  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Hassan A. Kingravi, Girish Chowdhary, Patricio A. Vela, Eric N. Johnson |
A reproducing Kernel Hilbert Space approach for the online update of Radial Bases in neuro-adaptive control.  |
CDC-ECE  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Fazhan Geng, Minggen Cui |
Solving singular nonlinear boundary value problems by combining the homotopy perturbation method and reproducing kernel Hilbert space method.  |
Int. J. Comput. Math.  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Xugang Lu, Masashi Unoki, Ryosuke Isotani, Hisashi Kawai, Satoshi Nakamura |
Voice activity detection in a reguarized reproducing kernel hilbert space.  |
INTERSPEECH  |
2010 |
DBLP BibTeX RDF |
|
| 1 | António R. C. Paiva, Il Park 0002, José C. Príncipe |
A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing.  |
Neural Computation  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Fazhan Geng |
A new reproducing kernel Hilbert space method for solving nonlinear fourth-order boundary value problems.  |
Applied Mathematics and Computation  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Fazhan Geng |
Solving singular second order three-point boundary value problems using reproducing kernel Hilbert space method.  |
Applied Mathematics and Computation  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Ying Yang |
Penalized semiparametric density estimation.  |
Statistics and Computing  |
2009 |
DBLP DOI BibTeX RDF |
Penalized likelihood estimation, Generalized maximum likelihood criterion, Smoothing splines, Density estimation, Reproducing kernel Hilbert space |
| 1 | Yihua Chen, Maya R. Gupta, Benjamin Recht |
Learning kernels from indefinite similarities.  |
ICML  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor |
A Collaborative Training Algorithm for Distributed Learning.  |
IEEE Transactions on Information Theory  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee |
Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression.  |
IEEE Trans. Knowl. Data Eng.  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Odalric-Ambrym Maillard, Nicolas Vayatis |
Complexity versus Agreement for Many Views.  |
ALT  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Manuel Martín-Merino, Javier De Las Rivas |
Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles.  |
IDA  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Vincent Pisetta, Djamel A. Zighed |
Similarity and Kernel Matrix Evaluation Based on Spatial Autocorrelation Analysis.  |
ISMIS  |
2009 |
DBLP DOI BibTeX RDF |
Kernel matrix evaluation, similarity learning, spatial autocorrelation |
| 1 | Hong Du, Minggen Cui |
Approximate solution of the Fredholm integral equation of the first kind in a reproducing kernel Hilbert space.  |
Appl. Math. Lett.  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Tomoya Takeuchi, Masahiro Yamamoto |
Tikhonov Regularization by a Reproducing Kernel Hilbert Space for the Cauchy Problem for an Elliptic Equation.  |
SIAM J. Scientific Computing  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas |
Classification of multiple cancer types in a Hyper Reproducing Kernel Hilbert Space.  |
BIBE  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Jie Shao, Zi Huang, Heng Tao Shen, Jialie Shen, Xiaofang Zhou |
Distribution-based similarity measures for multi-dimensional point set retrieval applications.  |
ACM Multimedia  |
2008 |
DBLP DOI BibTeX RDF |
multi-dimensional point set, similarity measures, hypothesis tests, reproducing kernel hilbert space, minimal spanning tree, non-parametric |
| 1 | Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton, Bernhard Schölkopf |
Tailoring density estimation via reproducing kernel moment matching.  |
ICML  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G. Lanckriet |
Metric embedding for kernel classification rules.  |
ICML  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Jian-Wu Xu, José Carlos Príncipe |
A Pitch Detector Based on a Generalized Correlation Function.  |
IEEE Transactions on Audio, Speech & Language Processing  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Matthias W. Seeger, Sham M. Kakade, Dean P. Foster |
Information Consistency of Nonparametric Gaussian Process Methods.  |
IEEE Transactions on Information Theory  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | He-Ping Song, Qun-Sheng Yang, Yin-Wei Zhan |
Semantic Discriminative Projections for Image Retrieval.  |
AIRS  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Javier González, Alberto Muñoz |
Representing Functional Data Using Support Vector Machines.  |
CIARP  |
2008 |
DBLP DOI BibTeX RDF |
Functional Data, Support Vector Machines, Reproducing Kernel Hilbert Spaces |
| 1 | Wei Jiang, Shih-Fu Chang, Tony Jebara, Alexander C. Loui |
Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines.  |
ECCV  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor |
Regularized Fitted Q-Iteration: Application to Planning.  |
EWRL  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
Optimal Kernel in a Class of Kernels with an Invariant Metric.  |
SSPR/SPR  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Yiming Ying, Massimiliano Pontil |
Online Gradient Descent Learning Algorithms.  |
Foundations of Computational Mathematics  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Rui J. P. de Figueiredo |
Processing fuzzy set membership functionals as vectors.  |
Soft Comput.  |
2008 |
DBLP DOI BibTeX RDF |
Zadeh, Alzheimer’s, Neural networks, Fuzzy, Functionals, Nonlinear, Sets, Membership, Analytic, Hilbert space |
| 1 | Xunkai Wei, Yinghong Li, Yue Feng, Guangbin Huang |
Solving Mahalanobis Ellipsoidal Learning Machine Via Second Order Cone Programming.  |
ICIC  |
2007 |
DBLP DOI BibTeX RDF |
Mahalanobis ellipsoidal learning machine, support vector machines, One class classification, reproducing kernel Hilbert space, second order cone programming |
| 1 | Xunkai Wei, Yinghong Li, Yue Feng, Guangbin Huang |
Minimum Mahalanobis Enclosing Ellipsoid Machine for Pattern Classification.  |
ICIC  |
2007 |
DBLP DOI BibTeX RDF |
minimum Mahalanobis enclosing ellipsoid, support vector machines, Pattern classification, reproducing kernel Hilbert space, second order cone programming |
| 1 | Chris H. Q. Ding, Rong Jin, Tao Li, Horst D. Simon |
A learning framework using Green's function and kernel regularization with application to recommender system.  |
KDD  |
2007 |
DBLP DOI BibTeX RDF |
semi-supervised learning, label propagation |
| 1 | Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jinhui Tang, Hong-Jiang Zhang |
Concurrent Multiple Instance Learning for Image Categorization.  |
CVPR  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Haixian Wang, Wenming Zheng, Zilan Hu, Sibao Chen |
Local and Weighted Maximum Margin Discriminant Analysis.  |
CVPR  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Deng Cai, Xiaofei He, Jiawei Han |
Efficient Kernel Discriminant Analysis via Spectral Regression.  |
ICDM  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | K. R. Sivaramakrishnan, K. Karthik, Chiranjib Bhattacharyya |
Kernels for Large Margin Time-Series Classification.  |
IJCNN  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, Jose C. Principe |
A New Nonlinear Similarity Measure for Multichannel Biological Signals.  |
IJCNN  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Steven Busuttil, Yuri Kalnishkan |
Online Regression Competitive with Changing Predictors.  |
ALT  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Alex J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf |
A Hilbert Space Embedding for Distributions.  |
ALT  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Francis J. Narcowich, Xingping Sun, Joseph D. Ward |
Approximation power of RBFs and their associated SBFs: a connection.  |
Adv. Comput. Math.  |
2007 |
DBLP DOI BibTeX RDF |
Mathematics subject classifications (2000) 41A2454, 41A63, 41A05, 42C10 |
| 1 | Andrea Caponnetto, Ernesto De Vito |
Optimal Rates for the Regularized Least-Squares Algorithm.  |
Foundations of Computational Mathematics  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Vladimir Vovk |
Competing with wild prediction rules.  |
Machine Learning  |
2007 |
DBLP DOI BibTeX RDF |
Competitive on-line prediction, Square loss regression, Banach function space |
| 1 | S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola |
Step Size Adaptation in Reproducing Kernel Hilbert Space.  |
Journal of Machine Learning Research  |
2006 |
DBLP BibTeX RDF |
|
| 1 | Yoshikazu Washizawa, Yukihiko Yamashita |
Non-linear Wiener filter in reproducing kernel Hilbert space.  |
ICPR  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun |
Incorporating query difference for learning retrieval functions in world wide web search.  |
CIKM  |
2006 |
DBLP DOI BibTeX RDF |
alternating optiminization, discounted cumulative gain, query dependence, query document feature, query specific feature, retrieval function, machine learning, regularization, relevance, quadratic programming, relevance judgment, WWW search, risk minimization, least-squares regression, gradient boosting |
| 1 | Hong Peng, Jun Wang |
Support Vector Regression Based on Scaling Reproducing Kernel for Black-Box System Identification.  |
ISDA  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Anqi Qiu, Dmitri Bitouk, Michael I. Miller |
Smooth functional and structural maps on the neocortex via orthonormal bases of the Laplace-Beltrami operator.  |
IEEE Trans. Med. Imaging  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Angel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal |
Support Vector Machines for Nonlinear Kernel ARMA System Identification.  |
IEEE Transactions on Neural Networks  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Vladimir Vovk |
Leading Strategies in Competitive On-Line Prediction.  |
ALT  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Vladimir Vovk |
Competing with Wild Prediction Rules.  |
COLT  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Liangzhi Gan, Hai-kuan Liu, Youxian Sun |
Sparse Least Squares Support Vector Machine for Function Estimation.  |
ISNN  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Hong Peng, Jun Wang, Min Tang, Lichun Wan |
Nonlinear System Identification Using Multi-resolution Reproducing Kernel Based Support Vector Regression.  |
ISNN  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Lianwei Zhao, Siwei Luo, Mei Tian, Chao Shao, Hongliang Ma |
Combining Label Information and Neighborhood Graph for Semi-supervised Learning.  |
ISNN  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Akira Tanaka, Masashi Sugiyama, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
Model Selection Using a Class of Kernels with an Invariant Metric.  |
SSPR/SPR  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Robert Schaback, J. Werner |
Linearly constrained reconstruction of functions by kernels with applications to machine learning.  |
Adv. Comput. Math.  |
2006 |
DBLP DOI BibTeX RDF |
positive definite radial basis functions, machine learning, support vector machines, regression, quadratic programming, kernel machines |
| 1 | Ding-Xuan Zhou, Kurt Jetter |
Approximation with polynomial kernels and SVM classifiers.  |
Adv. Comput. Math.  |
2006 |
DBLP DOI BibTeX RDF |
regularization scheme, polynomial kernel, approximation by Durrmeyer operators, support vector machine, classification algorithm, misclassification error |
| 1 | Wensen An, Yanguang Sun |
An Equivalence between SILF-SVR and Ordinary Kriging.  |
Neural Processing Letters  |
2006 |
DBLP DOI BibTeX RDF |
soft insensitive loss function, support vector regression, equivalence, Kriging |
| 1 | Umberto Amato, Anestis Antoniadis, Marianna Pensky |
Wavelet kernel penalized estimation for non-equispaced design regression.  |
Statistics and Computing  |
2006 |
DBLP DOI BibTeX RDF |
Reproducing kernel, Penalization, Besov spaces, Smoothing splines ANOVA, Entropy, Wavelet decomposition |
| 1 | C. Dachapak, Shunshoku Kanae, Zi-Jiang Yang, Kiyoshi Wada |
Study on radial basis function network in reproducing kernel hilbert space.  |
SIP  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zhang |
Neighborhood Preserving Embedding.  |
ICCV  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Shivani Agarwal, Partha Niyogi |
Stability and Generalization of Bipartite Ranking Algorithms.  |
COLT  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu |
Kernel Basis Pursuit.  |
ECML  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Xiangjun Wen, Xiaoming Xu, Yunze Cai |
Least-Squares Wavelet Kernel Method for Regression Estimation.  |
ICNC  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Xiangjun Wen, Yunze Cai, Xiaoming Xu |
Wavelet Support Vector Machines and Its Application for Nonlinear System Identification.  |
ISNN  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Jacek Leski |
Fuzzy c-varieties/elliptotypes clustering in reproducing kernel Hilbert space.  |
Fuzzy Sets and Systems  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Peng Zhang, Jing Peng |
SVM vs Regularized Least Squares Classification.  |
ICPR  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
Projection Learning Based Kernel Machine Design Using Series of Monotone Increasing Reproducing Kernel Hilbert Spaces.  |
KES  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Barend J. van Wyk, Michaël A. van Wyk, Guillaume Noel |
Kernel-Based Non-linear Template Matching.  |
SSPR/SPR  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Cornelis V. M. van der Mee, M. Z. Nashed, Sebastiano Seatzu |
Sampling Expansions and Interpolation in Unitarily Translation Invariant Reproducing Kernel Hilbert Spaces.  |
Adv. Comput. Math.  |
2003 |
DBLP DOI BibTeX RDF |
unitarily translation invariant subspaces, reproducing kernel spaces, sampling on the half-line, Riesz bases, nonuniform sampling |
| 1 | Michaël A. van Wyk, Tariq S. Durrani, Barend J. van Wyk |
A RKHS Interpolator-Based Graph Matching Algorithm.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2002 |
DBLP DOI BibTeX RDF |
reproducing kernel Hilbert space theory, neural networks, image processing, combinatorial optimization, pattern matching, Graph matching, attributed relational graphs |
| 1 | H. Murfi, Benyamin Kusumoputro |
A two-level learning hierarchy for constructing incremental projection generalizing neural networks.  |
APCCAS  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Masashi Sugiyama, Klaus-Robert Müller |
Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces.  |
ICANN  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Barend J. van Wyk, Michaël A. van Wyk |
Non-bayesian Graph Matching without Explicit Compatibility Calculations.  |
SSPR/SPR  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Roman Rosipal, Leonard J. Trejo |
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space.  |
Journal of Machine Learning Research  |
2001 |
DBLP BibTeX RDF |
|
| 1 | Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio |
Regularization Networks and Support Vector Machines.  |
Adv. Comput. Math.  |
2000 |
DBLP DOI BibTeX RDF |
Support Vector Machines, regularization, Radial Basis Functions, Reproducing Kernel Hilbert Space, Structural Risk Minimization |
| 1 | Jonathan S. Maltz, Robert De Mello Koch, Andrew Willis |
Reproducing kernel Hilbert space method for optimal interpolation of potential field data.  |
IEEE Transactions on Image Processing  |
1998 |
DBLP DOI BibTeX RDF |
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