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FUIN
2008
74views more  FUIN 2008»
14 years 9 months ago
A P Systems Flat Form Preserving Step-by-step Behaviour
Starting from a compositional operational semantics of transition P Systems we have previously defined, we face the problem of developing an axiomatization that is sound and comple...
Roberto Barbuti, Andrea Maggiolo-Schettini, Paolo ...
ICASSP
2011
IEEE
14 years 1 months ago
A new variational method for preserving point-like and curve-like singularities in 2-D images
We propose a new variational method to restore point-like and curvelike singularities in 2-D images. As points and open curves are fine structures, they are difficult to restore...
Daniele Graziani, Laure Blanc-Féraud, Gille...
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
15 years 10 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
ISAAC
2004
Springer
84views Algorithms» more  ISAAC 2004»
15 years 3 months ago
Property-Preserving Data Reconstruction
We initiate a new line of investigation into online property-preserving data reconstruction. Consider a dataset which is assumed to satisfy various (known) structural properties; e...
Nir Ailon, Bernard Chazelle, Seshadhri Comandur, D...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer