Chris Ding
According to our database^{1},
Chris Ding
authored at least 229 papers
between 1993 and 2018.
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Bibliography
2018
Nongreedy Maxmin Large Margin based on L1norm.
Pattern Recognition Letters, 2018
A Nonnegative Locally Linear KNN model for image recognition.
Pattern Recognition, 2018
Linear regression based projections for dimensionality reduction.
Inf. Sci., 2018
Saliency detection via a multilayer graph based diffusion model.
Neurocomputing, 2018
Robust data representation using locally linear embedding guided PCA.
Neurocomputing, 2018
A discriminative multiclass feature selection method via weighted l_{2, 1}norm and Extended Elastic Net.
Neurocomputing, 2018
Transductive SemiSupervised Deep Learning Using MinMax Features.
Proceedings of the Computer Vision  ECCV 2018, 2018
ExerciseEnhanced Sequential Modeling for Student Performance Prediction.
Proceedings of the ThirtySecond AAAI Conference on Artificial Intelligence, 2018
2017
Active Learning for Classification with Maximum Model Change.
ACM Trans. Inf. Syst., 2017
From Protein Sequence to Protein Function via MultiLabel Linear Discriminant Analysis.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017
Graph Matching via Multiplicative Update Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Saliency Detection via A Graph Based Diffusion Model.
Proceedings of the GraphBased Representations in Pattern Recognition, 2017
Binary Constraint Preserving Graph Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Rank Ordering Constraints Elimination with Application for Kernel Learning.
Proceedings of the ThirtyFirst AAAI Conference on Artificial Intelligence, 2017
Nonnegative Orthogonal Graph Matching.
Proceedings of the ThirtyFirst AAAI Conference on Artificial Intelligence, 2017
2016
Robust OutofSample Data Recovery.
Proceedings of the TwentyFifth International Joint Conference on Artificial Intelligence, 2016
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
Accelerating Deep Learning with Shrinkage and Recall.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016
2015
Similarity Learning of Manifold Data.
IEEE Trans. Cybernetics, 2015
PCAguided search for Kmeans.
Pattern Recognition Letters, 2015
Inferring disease associations of the long noncoding RNAs through nonnegative matrix factorization.
NetMAHIB, 2015
Joint Schatten pnorm and ℓ_{p}norm robust matrix completion for missing value recovery.
Knowl. Inf. Syst., 2015
An algorithm framework of sparse minimization for positive definite quadratic forms.
Neurocomputing, 2015
eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways.
Bioinformatics, 2015
A Closed Form Solution to MultiView LowRank Regression.
Proceedings of the TwentyNinth AAAI Conference on Artificial Intelligence, 2015
A Local Sparse Model for Matching Problem.
Proceedings of the TwentyNinth AAAI Conference on Artificial Intelligence, 2015
2014
A Framework for Hierarchical Ensemble Clustering.
TKDD, 2014
Extended linear regression for undersampled face recognition.
J. Visual Communication and Image Representation, 2014
Correlated Protein Function Prediction via Maximization of DataKnowledge Consistency.
Proceedings of the Research in Computational Molecular Biology, 2014
Kernel Alignment Inspired Linear Discriminant Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
CovariateCorrelated Lasso for Feature Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Active Learning for Support Vector Machines with Maximum Model Change.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}norm.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Feature Selection at the Discrete Limit.
Proceedings of the TwentyEighth AAAI Conference on Artificial Intelligence, 2014
Robust NonNegative Dictionary Learning.
Proceedings of the TwentyEighth AAAI Conference on Artificial Intelligence, 2014
PairwiseCovariance Linear Discriminant Analysis.
Proceedings of the TwentyEighth AAAI Conference on Artificial Intelligence, 2014
NonConvex Feature Learning via L_{p, inf} Operator.
Proceedings of the TwentyEighth AAAI Conference on Artificial Intelligence, 2014
2013
Robust Manifold Nonnegative Matrix Factorization.
TKDD, 2013
Nonnegative Trifactor tensor decomposition with applications.
Knowl. Inf. Syst., 2013
Toward structural sparsity: an explicit ℓ_{2}/ℓ_{0} approach.
Knowl. Inf. Syst., 2013
Collective Kernel Construction in Noisy Environment.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Minimal Shrinkage for Noisy Data Recovery Using Schattenp Norm Objective.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
On the equivalent of lowrank linear regressions and linear discriminant analysis based regressions.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations.
Proceedings of the IJCAI 2013, 2013
Early Active Learning via Robust Representation and Structured Sparsity.
Proceedings of the IJCAI 2013, 2013
Adaptive Loss Minimization for SemiSupervised Elastic Embedding.
Proceedings of the IJCAI 2013, 2013
Social Trust Prediction Using Rankk Matrix Recovery.
Proceedings of the IJCAI 2013, 2013
Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Robust Tucker Tensor Decomposition for Effective Image Representation.
Proceedings of the IEEE International Conference on Computer Vision, 2013
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
GraphLaplacian PCA: ClosedForm Solution and Robustness.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Probabilistic solutions of influence propagation on social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Supervised and Projected Sparse Coding for Image Classification.
Proceedings of the TwentySeventh AAAI Conference on Artificial Intelligence, 2013
Uncorrelated Lasso.
Proceedings of the TwentySeventh AAAI Conference on Artificial Intelligence, 2013
Nonnegative Matrix Factorizations for Clustering: A Survey.
Data Clustering: Algorithms and Applications, 2013
2012
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012
Joint stage recognition and anatomical annotation of drosophila gene expression patterns.
Bioinformatics, 2012
Towards a bridge between cost and wealth in riskaware planning.
Appl. Intell., 2012
Symmetric Nonnegative Matrix Factorization for Graph Clustering.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Predicting ProteinProtein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix TriFactorization.
Proceedings of the Research in Computational Molecular Biology, 2012
FunctionFunction Correlated MultiLabel Protein Function Prediction over Interaction Networks.
Proceedings of the Research in Computational Molecular Biology, 2012
Maximum Consistency Preferential Random Walks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
Selective Labeling via Error Bound Minimization.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
An Efficient Algorithm for Feature Selection with Feature Correlation.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
An Iterative Locally Linear Embedding Algorithm.
Proceedings of the 29th International Conference on Machine Learning, 2012
Robust Kernel Nonnegative Matrix Factorization.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Robust Matrix Completion via Joint Schatten pNorm and lpNorm Minimization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Parallelization with Multiplicative Algorithms for Big Data Mining.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
A Semidefinite Positive Linear Discriminant Analysis and Its Applications.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
An efficient algorithm for L1norm principal component analysis.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Nonnegative matrix factorization using a robust error function.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Simultaneous Image Classification and Annotation via Biased Random Walk on Trirelational Graph.
Proceedings of the Computer Vision  ECCV 2012, 2012
Multilabel ReliefF and Fstatistic feature selections for image annotation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Infobox suggestion for Wikipedia entities.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Robust Integrated Locally Linear Embedding.
Proceedings of the Biometric Recognition  7th Chinese Conference, 2012
LowRank Matrix Recovery via Efficient Schatten pNorm Minimization.
Proceedings of the TwentySixth AAAI Conference on Artificial Intelligence, 2012
2011
Community discovery using nonnegative matrix factorization.
Data Min. Knowl. Discov., 2011
Guest editorial: special issue on data mining with matrices, graphs and tensors.
Data Min. Knowl. Discov., 2011
Loworder tensor decompositions for social tagging recommendation.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011
Crosslanguage web page classification via dual knowledge transfer using nonnegative matrix trifactorization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011
MultiSubspace Representation and Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Graph Evolution via Social Diffusion Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Maximum Margin MultiInstance Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 1214 December 2011, 2011
Gaussian Process for Recommender Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2011
Angular Decomposition.
Proceedings of the IJCAI 2011, 2011
Robust Principal Component Analysis with NonGreedy l_{1}Norm Maximization.
Proceedings of the IJCAI 2011, 2011
Cluster Indicator Decomposition for Efficient Matrix Factorization.
Proceedings of the IJCAI 2011, 2011
On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF.
Proceedings of the IJCAI 2011, 2011
Cauchy Graph Embedding.
Proceedings of the 28th International Conference on Machine Learning, 2011
Tensor Foldin Algorithms for Social Tagging Prediction.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Nonnegative Matrix Trifactorization Based HighOrder Coclustering and Its Fast Implementation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
MultiClass L2, 1Norm Support Vector Machine.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Consensus spectral clustering in nearlinear time.
Proceedings of the 27th International Conference on Data Engineering, 2011
Sparse multitask regression and feature selection to identify brain imaging predictors for memory performance.
Proceedings of the IEEE International Conference on Computer Vision, 2011
Dyadic transfer learning for crossdomain image classification.
Proceedings of the IEEE International Conference on Computer Vision, 2011
Unsupervised and semisupervised learning via ℓ1norm graph.
Proceedings of the IEEE International Conference on Computer Vision, 2011
Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2011
Image annotation using birelational graph of images and semantic labels.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
Simultaneous clustering of multitype relational data via symmetric nonnegative matrix trifactorization.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Robust nonnegative matrix factorization using L21norm.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Integrating Clustering and MultiDocument Summarization by BiMixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases.
Proceedings of the TwentyFifth AAAI Conference on Artificial Intelligence, 2011
MultiLevel Cluster Indicator Decompositions of Matrices and Tensors.
Proceedings of the TwentyFifth AAAI Conference on Artificial Intelligence, 2011
Linear Discriminant Analysis: New Formulations and Overfit Analysis.
Proceedings of the TwentyFifth AAAI Conference on Artificial Intelligence, 2011
2010
Convex and SemiNonnegative Matrix Factorizations.
IEEE Trans. Pattern Anal. Mach. Intell., 2010
On the eigenvectors of pLaplacian.
Machine Learning, 2010
Binary matrix factorization for analyzing gene expression data.
Data Min. Knowl. Discov., 2010
Determining modular organization of protein interaction networks by maximizing modularity density.
BMC Systems Biology, 2010
Feature subset nonnegative matrix factorization and its applications to document understanding.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
Closed form solution of similarity algorithms.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
Bridging Domains with Words: Opinion Analysis with Matrix Trifactorizations.
Proceedings of the SIAM International Conference on Data Mining, 2010
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2010
Directed Graph Learning via HighOrder Colinkage Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Modeling reliability for wireless sensor node coverage in assistive testbeds.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010
Efficient and Robust Feature Selection via Joint ℓ2, 1Norms Minimization.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 69 December 2010, 2010
Network community discovery: solving modularity clustering via normalized cut.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010
Hierarchical Ensemble Clustering.
Proceedings of the ICDM 2010, 2010
Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering.
Proceedings of the ICDMW 2010, 2010
Weighted Feature Subset Nonnegative Matrix Factorization and Its Applications to Document Understanding.
Proceedings of the ICDM 2010, 2010
Towards Structural Sparsity: An Explicit l2/l0 Approach.
Proceedings of the ICDM 2010, 2010
Multilabel Feature Transform for Image Classifications.
Proceedings of the Computer Vision, 2010
Image Categorization Using Directed Graphs.
Proceedings of the Computer Vision, 2010
Multilabel Linear Discriminant Analysis.
Proceedings of the Computer Vision  ECCV 2010, 2010
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
Discriminant Laplacian Embedding.
Proceedings of the TwentyFourth AAAI Conference on Artificial Intelligence, 2010
MultiLabel Classification: Inconsistency and Class Balanced KNearest Neighbor.
Proceedings of the TwentyFourth AAAI Conference on Artificial Intelligence, 2010
2009
Dimension Reduction Techniques for Clustering.
Proceedings of the Encyclopedia of Database Systems, 2009
KDD2009 workshop report DMMT'09: data mining using matrices and tensors.
SIGKDD Explorations, 2009
Knowledge transformation for crossdomain sentiment classification.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009
Integrated KL (Kmeans  Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Proceedings of the SIAM International Conference on Data Mining, 2009
KSubspace Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Consensus group stable feature selection.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Label Propagation on Kpartite Graphs.
Proceedings of the International Conference on Machine Learning and Applications, 2009
Nonnegative Laplacian Embedding.
Proceedings of the ICDM 2009, 2009
Image annotation using multilabel correlated Green's function.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009
Symmetric two dimensional linear discriminant analysis (2DLDA).
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2008
KDD2008 workshop report DMMT'08: data mining using matrices and tensors.
SIGKDD Explorations, 2008
Efficient Parallel I/O in Community Atmosphere Model (CAM).
IJHPCA, 2008
On the equivalence between Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing.
Computational Statistics & Data Analysis, 2008
Multidocument summarization via sentencelevel semantic analysis and symmetric matrix factorization.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008
Knowledge transformation from word space to document space.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008
Posterior probabilistic clustering using NMF.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008
Weighted Consensus Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2008
Stable feature selection via dense feature groups.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and kmeans clustering.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Robust tensor factorization using R1 norm.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
Tensor reduction error analysis  Applications to video compression and classification.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
A learning framework using Green's function and kernel regularization with application to recommender system.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Finding Hotspots in Document Collection.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007
Adaptive dimension reduction using discriminant analysis and Kmeans clustering.
Proceedings of the Machine Learning, 2007
Binary Matrix Factorization with Applications.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Solving Consensus and Semisupervised Clustering Problems Using Nonnegative Matrix Factorization.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
A TwoStage Gene Selection Algorithm by Combining ReliefF and mRMR.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques.
IJDMB, 2006
PSoL: a positive sample only learning algorithm for finding noncoding RNA genes.
Bioinformatics, 2006
NMF and PLSI: equivalence and a hybrid algorithm.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006
Orthogonal nonnegative matrix tfactorizations for clustering.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Supernova Recognition Using Support Vector Machines.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006
R_{1}PCA: rotational invariant L_{1}norm principal component analysis for robust subspace factorization.
Proceedings of the Machine Learning, 2006
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Biclustering Protein Complex Interactions with a Biclique Finding Algorithm.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence ChiSquare Statistic, and a Hybrid Method.
Proceedings of the Proceedings, 2006
2005
Feature Selection Based on Mutual Information: Criteria of MaxDependency, MaxRelevance, and MinRedundancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2005
A probabilistic model for Latent Semantic Indexing.
JASIST, 2005
Term norm distribution and its effects on Latent Semantic Indexing.
Inf. Process. Manage., 2005
Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures.
IJHPCA, 2005
CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model.
IJHPCA, 2005
Evolving Feature Selection.
IEEE Intelligent Systems, 2005
Comparative mapping of sequencebased and structurebased protein domains.
BMC Bioinformatics, 2005
2Dimensional Singular Value Decomposition for 2D Maps and Images.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery.
Proceedings of the Biocomputing 2005, 2005
Cluster Aggregate Inequality and Multilevel Hierarchical Clustering.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Dynamic Cluster Formation Using Level Set Methods.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
A Probabilistic Approach for Optimizing Spectral Clustering.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Finding cliques in protein interaction networks via transitive closure of a weighted graph.
Proceedings of the 5th international workshop on Bioinformatics, 2005
Nonnegative Lagrangian Relaxation of KMeans and Spectral Clustering.
Proceedings of the Machine Learning: ECML 2005, 2005
A MultiLevel Approach to SCOP Fold Recognition.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005
2004
Link Analysis: Hubs and Authorities on the World Wide Web.
SIAM Review, 2004
Principal Component Analysis and Effective KMeans Clustering.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004
Knearestneighbor consistency in data clustering: incorporating local information into global optimization.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004
Cluster Structure of Kmeans Clustering via Principal Component Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004
Integrating Program Component Executables on Distributed Memory Architectures via MPH.
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004
Kmeans clustering via principal component analysis.
Proceedings of the Machine Learning, 2004
Linearized cluster assignment via spectral ordering.
Proceedings of the Machine Learning, 2004
Positive Sample Only Learning (PSOL) for Predicting RNA Genes in E. coli.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004
Contraction Graphs for Representation and Analysis of RNA Secondary Structure.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004
2003
Unsupervised Feature Selection Via Twoway Ordering in Gene Expression Analysis.
Bioinformatics, 2003
PageRank: HITS and a Unified Framework for Link Analysis.
Proceedings of the Third SIAM International Conference on Data Mining, 2003
Data Clustering: Principal Components, Hopfield and SelfAggregation Networks.
Proceedings of the IJCAI03, 2003
Structure Search and Stability Enhancement of Bayesian Networks.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Minimum Redundancy Feature Selection from Microarray Gene Expression Data.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003
Document Retrieval and Clustering: from Principal Component Analysis to Selfaggregation Networks.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003
2002
Web document clustering using hyperlink structures.
Computational Statistics & Data Analysis, 2002
An Evaluation of MPI and OpenMP Paradigms for MultiDimensional Data Remapping.
Proceedings of the OpenMP Shared Memory Parallel Programming, 2002
PageRank, HITS and a unified framework for link analysis.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002
MPI and OpenMP paradigms on cluster of SMP architectures: the vacancy tracking algorithm for multidimensional array transposition.
Proceedings of the 2002 ACM/IEEE conference on Supercomputing, 2002
Analysis of gene expression profiles: class discovery and leaf ordering.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002
Unsupervised Learning: Selfaggregation in Scaled Principal Component Space.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002
Adaptive dimension reduction for clustering high dimensional data.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
Cluster merging and splitting in hierarchical clustering algorithms.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
2001
An Optimal Index Reshuffle Algorithm for Multidimensional Arrays and Its Applications for Parallel Architectures.
IEEE Trans. Parallel Distrib. Syst., 2001
High Performance Computations for Large Scale Simulations of Subsurface Multiphase Fluid and Heat Flow.
The Journal of Supercomputing, 2001
Multiclass protein fold recognition using support vector machines and neural networks.
Bioinformatics, 2001
A ghost cell expansion method for reducing communications in solving PDE problems.
Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 2001
Spectral Relaxation for Kmeans Clustering.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
A spectral method to separate disconnected and nearlydisconnected web graph components.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001
Automatic Topic Identification Using Webpage Clustering.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001
A Minmax Cut Algorithm for Graph Partitioning and Data Clustering.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001
Bipartite Graph Partitioning and Data Clustering.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001
2000
Using accurate arithmetics to improve numerical reproducibility and stability in parallel applications.
Proceedings of the 14th international conference on Supercomputing, 2000
1999
High Performance Fortran for practical scientific algorithms: An uptodate evaluation.
Future Generation Comp. Syst., 1999
A Similaritybased Probability Model for Latent Semantic Indexing.
Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999
A Parallel Implementation of the TOUGH2 Software Package for Large Scale Multiphase Fluid and Heat Flow Simulations.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1999
Data Organization and I/O in a Parallel Ocean Circulation Model.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1999
Parallel Algorithms for 1D FFTs on Real Numbers.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999
1998
Atmosperic Data Assimilation on DistributedMemory Parallel Supercomputers.
Proceedings of the HighPerformance Computing and Networking, 1998
Evaluations of HPF for Practical Scientific Algorithms on T3E.
Proceedings of the HighPerformance Computing and Networking, 1998
1997
Parallel Computing at the NASA Data Assimilation Office (DAO).
Proceedings of the ACM/IEEE Conference on Supercomputing, 1997
1996
Climate Data Assimilation on a Massively Parallel Supercomputer.
Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, 1996
An ElementBased Concurrent Partitioner for Unstructured Finite Element Meshes.
Proceedings of IPPS '96, 1996
1995
A Portable 3D FFT Package for DistributedMemory Parallel Architectures.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995
Slices: A Scalable Partitioner for Finite Element Meshes.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995
A General Purpose Sparse Matrix Parallel Solvers Package.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995
A general purpose sparse matrix parallel solvers package.
Proceedings of IPPS '95, 1995
1993
Monte Carlo simulations of Quantum systems on massively parallel computers.
Proceedings of the Proceedings Supercomputing '93, 1993