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» Incremental Algorithms for Hierarchical Classification
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CORR
2010
Springer
81views Education» more  CORR 2010»
13 years 1 months ago
Analysis of Agglomerative Clustering
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
Marcel R. Ackermann, Johannes Blömer, Daniel ...
SIGGRAPH
2003
ACM
13 years 12 months ago
Interactive rendering of translucent deformable objects
Realistic rendering of materials such as milk, fruits, wax, marble, and so on, requires the simulation of subsurface scattering of light. This paper presents an algorithm for plau...
Tom Mertens, Jan Kautz, Philippe Bekaert, Hans-Pet...
ICML
2008
IEEE
14 years 7 months ago
Graph transduction via alternating minimization
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
Jun Wang, Tony Jebara, Shih-Fu Chang
MICCAI
2009
Springer
14 years 7 months ago
Personalized Modeling and Assessment of the Aortic-Mitral Coupling from 4D TEE and CT
The anatomy, function and hemodynamics of the aortic and mitral valves are known to be strongly interconnected. An integrated quantitative and visual assessment of the aortic-mitra...
Razvan Ioan Ionasec, Ingmar Voigt, Bogdan George...
WISE
2009
Springer
14 years 1 months ago
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
Results clustering in Web Searching is useful for providing users with overviews of the results and thus allowing them to restrict their focus to the desired parts. However, the ta...
Stella Kopidaki, Panagiotis Papadakos, Yannis Tzit...