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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
14 years 11 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
PODC
2005
ACM
13 years 11 months ago
Distance estimation and object location via rings of neighbors
We consider four problems on distance estimation and object location which share the common flavor of capturing global information via informative node labels: low-stretch routin...
Aleksandrs Slivkins
JEI
2000
134views more  JEI 2000»
13 years 5 months ago
Pattern matching using the blur hit - miss transform
The usefulness of the hit-miss transform (HMT) and related transforms for pattern matching in document image applications is examined. Although the HMT is sensitive to the types o...
Dan S. Bloomberg, Luc Vincent
BMCBI
2005
92views more  BMCBI 2005»
13 years 5 months ago
Predicting functional sites with an automated algorithm suitable for heterogeneous datasets
Background: In a previous report (La et al., Proteins, 2005), we have demonstrated that the identification of phylogenetic motifs, protein sequence fragments conserving the overal...
David La, Dennis R. Livesay
TOG
2008
130views more  TOG 2008»
13 years 5 months ago
Quadrilateral mesh simplification
We introduce a simplification algorithm for meshes composed of quadrilateral elements. It is reminiscent of edge-collapse based methods for triangle meshes, but takes a novel appr...
Joel Daniels II, Cláudio T. Silva, Jason Sh...