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ICCV
2003
IEEE
14 years 11 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
SIGMOD
2003
ACM
152views Database» more  SIGMOD 2003»
14 years 10 months ago
Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects
In modern application domains such as multimedia, molecular biology and medical imaging, similarity search in database systems is becoming an increasingly important task. Especial...
Hans-Peter Kriegel, Stefan Brecheisen, Peer Kr&oum...
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
14 years 4 months ago
Visual exploration of categorical and mixed data sets
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
Sara Johansson
ICCV
2009
IEEE
15 years 2 months ago
Level Set Segmentation with Both Shape and Intensity Priors
We present a new variational level-set-based segmentation formulation that uses both shape and intensity prior information learned from a training set. By applying Bayes’ rule...
Siqi Chen and Richard J. Radke
VIS
2004
IEEE
143views Visualization» more  VIS 2004»
14 years 11 months ago
Rough Interface Reconstruction Using the Level Set Method
We present a new level set method for reconstructing interfaces from point aggregations. Although level-set-based methods are advantageous because they can handle complicated topo...
David Thompson, Raghu Machiraju, Yootai Kim