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ECCV
2010
Springer
15 years 7 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
SMA
2003
ACM
154views Solid Modeling» more  SMA 2003»
16 years 1 days ago
Discretization of functionally based heterogeneous objects
The presented approach to discretization of functionally defined heterogeneous objects is oriented towards applications associated with numerical simulation procedures, for exampl...
Elena Kartasheva, Valery Adzhiev, Alexander A. Pas...
TCS
2011
15 years 1 months ago
On the complex behavior of simple tag systems - An experimental approach
It is a well-know fact that apparently simple systems can give rise to complex behavior. But why exactly does a given system behave in a complex manner? There are two main approac...
Liesbeth De Mol
DAC
2007
ACM
16 years 7 months ago
IPR: An Integrated Placement and Routing Algorithm
Abstract-- In nanometer-scale VLSI technologies, several interconnect issues like routing congestion and interconnect delay have become the main concerns in placement. However, all...
Min Pan, Chris C. N. Chu
CVPR
2007
IEEE
16 years 1 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao