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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 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
CACM
2010
104views more  CACM 2010»
13 years 10 months ago
Faster dimension reduction
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
Nir Ailon, Bernard Chazelle
GOSLER
1995
14 years 1 months ago
A Guided Tour Across the Boundaries of Learning Recursive Languages
The present paper deals with the learnability of indexed families of uniformly recursive languages from positive data as well as from both, positive and negative data. We consider...
Thomas Zeugmann, Steffen Lange
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 10 months ago
On interactive visualization of high-dimensional data using the hyperbolic plane
: se the concept of visualizing general abstract data by intermediate projection into the hyperbolic space. Its favorable properties were reported earlier and led to the "hype...
Helge Ritter, Jörg A. Walter
SSD
2005
Springer
153views Database» more  SSD 2005»
14 years 3 months ago
Constrained Shortest Path Computation
This paper proposes and solves a-autonomy and k-stops shortest path problems in large spatial databases. Given a source s and a destination d, an aautonomy query retrieves a sequen...
Manolis Terrovitis, Spiridon Bakiras, Dimitris Pap...