SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A linear iteration time layout algorithm for visualising high-dimensional data
Proceedings of the 7th conference on Visualization '96
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
A Hybrid Layout Algorithm for Sub-Quadratic Multidimensional Scaling
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
ACE: A Fast Multiscale Eigenvectors Computation for Drawing Huge Graphs
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Database-friendly random projections: Johnson-Lindenstrauss with binary coins
Journal of Computer and System Sciences - Special issu on PODS 2001
On improved projection techniques to support visual exploration of multidimensional data sets
Information Visualization - Special issue on coordinated and multiple views in exploratory visualization
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
A Comparison of Affine Region Detectors
International Journal of Computer Vision
On-demand metadata extraction network (OMEN)
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Visual Mapping of Text Collections through a Fast High Precision Projection Technique
IV '06 Proceedings of the conference on Information Visualization
Evaluating bag-of-visual-words representations in scene classification
Proceedings of the international workshop on Workshop on multimedia information retrieval
Multi-Level Graph Layout on the GPU
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
Glimmer: Multilevel MDS on the GPU
IEEE Transactions on Visualization and Computer Graphics
Technical Section: Dynamic harmonic fields for surface processing
Computers and Graphics
Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115)
IEEE Transactions on Visualization and Computer Graphics
Eigensolver methods for progressive multidimensional scaling of large data
GD'06 Proceedings of the 14th international conference on Graph drawing
Interactive Vector Field Feature Identification
IEEE Transactions on Visualization and Computer Graphics
Two-Phase Mapping for Projecting Massive Data Sets
IEEE Transactions on Visualization and Computer Graphics
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
Cartogram visualization for nonlinear manifold learning models
Data Mining and Knowledge Discovery
Towards high-dimensional data analysis in air quality research
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
User-driven feature space transformation
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Multidimensional projection has emerged as an important visualization tool in applications involving the visual analysis of high-dimensional data. However, high precision projection methods are either computationally expensive or not flexible enough to enable feedback from user interaction into the projection process. A built-in mechanism that dynamically adapts the projection based on direct user intervention would make the technique more useful for a larger range of applications and data sets. In this paper we propose the Piecewise Laplacianbased Projection (PLP), a novel multidimensional projection technique, that, due to the local nature of its formulation, enables a versatile mechanism to interact with projected data and to allow interactive changes to alter the projection map dynamically, a capability unique of this technique. We exploit the flexibility provided by PLP in two interactive projection-based applications, one designed to organize pictures visually and another to build music playlists. These applications illustrate the usefulness of PLP in handling high-dimensional data in a flexible and highly visual way. We also compare PLP with the currently most promising projections in terms of precision and speed, showing that it performs very well also according to these quality criteria.