Jeff M. Phillips
According to our database^{1},
Jeff M. Phillips
authored at least 60 papers
between 2002 and 2018.
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Bibliography
2018
Improved Coresets for Kernel Density Estimates.
Proceedings of the TwentyNinth Annual ACMSIAM Symposium on Discrete Algorithms, 2018
Fully convolutional structured LSTM networks for joint 4D medical image segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Computing Approximate Statistical Discrepancy.
Proceedings of the 29th International Symposium on Algorithms and Computation, 2018
Improved bounds on information dissemination by Manhattan Random Waypoint model.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
Practical LowDimensional Halfspace Range Space Sampling.
Proceedings of the 26th Annual European Symposium on Algorithms, 2018
NearOptimal Coresets of Kernel Density Estimates.
Proceedings of the 34th International Symposium on Computational Geometry, 2018
Approximating the Distribution of the Median and other Robust Estimators on Uncertain Data.
Proceedings of the 34th International Symposium on Computational Geometry, 2018
2017
An integrated classification scheme for mapping estimates and errors of estimation from the American Community Survey.
Computers, Environment and Urban Systems, 2017
Distributed Trajectory Similarity Search.
PVLDB, 2017
Coresets for Kernel Regression.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Relative Error Embeddings of the Gaussian Kernel Distance.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017
2016
EIC Editorial.
IEEE Trans. Knowl. Data Eng., 2016
Improved Practical Matrix Sketching with Guarantees.
IEEE Trans. Knowl. Data Eng., 2016
Frequent Directions: Simple and Deterministic Matrix Sketching.
SIAM J. Comput., 2016
The Robustness of Estimator Composition.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Efficient Frequent Directions Algorithm for Sparse Matrices.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Scalable spatial scan statistics through sampling.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
epsilonKernel Coresets for Stochastic Points.
Proceedings of the 24th Annual European Symposium on Algorithms, 2016
Streaming Kernel Principal Component Analysis.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Geometric Inference on Kernel Density Estimates.
Proceedings of the 31st International Symposium on Computational Geometry, 2015
Subsampling in Smoothed Range Spaces.
Proceedings of the Algorithmic Learning Theory  26th International Conference, 2015
2014
Continuous Matrix Approximation on Distributed Data.
PVLDB, 2014
Relative Errors for Deterministic LowRank Matrix Approximations.
Proceedings of the TwentyFifth Annual ACMSIAM Symposium on Discrete Algorithms, 2014
Improved Practical Matrix Sketching with Guarantees.
Proceedings of the Algorithms  ESA 2014, 2014
2013
ЄSamples for Kernels.
Proceedings of the TwentyFourth Annual ACMSIAM Symposium on Discrete Algorithms, 2013
Quality and efficiency for kernel density estimates in large data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Nearest neighbor searching under uncertainty II.
Proceedings of the 32nd ACM SIGMODSIGACTSIGART Symposium on Principles of Database Systems, 2013
Radio tomographic imaging and tracking of stationary and moving people via kernel distance.
Proceedings of the 12th International Conference on Information Processing in Sensor Networks (colocated with CPS Week 2013), 2013
Range counting coresets for uncertain data.
Proceedings of the Symposuim on Computational Geometry 2013, 2013
2012
Ranking Large Temporal Data.
PVLDB, 2012
Protocols for Learning Classifiers on Distributed Data.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Lower bounds for numberinhand multiparty communication complexity, made easy.
Proceedings of the TwentyThird Annual ACMSIAM Symposium on Discrete Algorithms, 2012
Mergeable summaries.
Proceedings of the 31st ACM SIGMODSIGACTSIGART Symposium on Principles of Database Systems, 2012
Sensor Network Localization for Moving Sensors.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Efficient Threshold Monitoring for Distributed Probabilistic Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
Uncertainty visualization in HARDI based on ensembles of ODFs.
Proceedings of the 2012 IEEE Pacific Visualization Symposium, 2012
Efficient Protocols for Distributed Classification and Optimization.
Proceedings of the Algorithmic Learning Theory  23rd International Conference, 2012
2011
Geometric Computations on Indecisive Points.
Proceedings of the Algorithms and Data Structures  12th International Symposium, 2011
Horoball Hulls and Extents in Positive Definite Space.
Proceedings of the Algorithms and Data Structures  12th International Symposium, 2011
SpatiallyAware Comparison and Consensus for Clusterings.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Generating a Diverse Set of HighQuality Clusterings.
Proceedings of the 2nd MultiClust Workshop: Discovering, 2011
(Approximate) uncertain skylines.
Proceedings of the Database Theory, 2011
Comparing distributions and shapes using the kernel distance.
Proceedings of the 27th ACM Symposium on Computational Geometry, 2011
2010
Metrics for Uncertainty Analysis and Visualization of Diffusion Tensor Images.
Proceedings of the Medical Imaging and Augmented Reality  5th International Workshop, 2010
Lipschitz Unimodal and Isotonic Regression on Paths and Trees.
Proceedings of the LATIN 2010: Theoretical Informatics, 2010
Universal multidimensional scaling.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Stability of epsilonKernels.
Proceedings of the Algorithms, 2010
2009
Shape Fitting on Point Sets with Probability Distributions.
Proceedings of the Algorithms, 2009
2008
Spatial Scan Statistics for Graph Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2008
Algorithms for epsilonApproximations of Terrains.
Proceedings of the Automata, Languages and Programming, 35th International Colloquium, 2008
An Efficient Algorithm for 2D Euclidean 2Center with Outliers.
Proceedings of the Algorithms, 2008
2007
ValueBased Notification Conditions in LargeScale Publish/Subscribe Systems.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007
Outlier Robust ICP for Minimizing Fractional RMSD.
Proceedings of the Sixth International Conference on 3D Digital Imaging and Modeling, 2007
2006
Segmenting Motifs in ProteinProtein Interface Surfaces.
Proceedings of the Algorithms in Bioinformatics, 6th International Workshop, 2006
The hunting of the bump: on maximizing statistical discrepancy.
Proceedings of the Seventeenth Annual ACMSIAM Symposium on Discrete Algorithms, 2006
Spatial scan statistics: approximations and performance study.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
On Bipartite Matching under the RMS Distance.
Proceedings of the 18th Annual Canadian Conference on Computational Geometry, 2006
2004
Guided Expansive Spaces Trees: a Search Strategy for Motion and Costconstrained State Spaces.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
2002
Simulated Knot Tying.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002