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» An Instance Selection Approach to Multiple Instance Learning
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DAGM
2009
Springer
15 years 4 months ago
Optimal Parameter Estimation with Homogeneous Entities and Arbitrary Constraints
Abstract. Well known estimation techniques in computational geometry usually deal only with single geometric entities as unknown parameters and do not account for constrained obser...
Jochen Meidow, Wolfgang Förstner, Christian B...
CIKM
1994
Springer
15 years 1 months ago
Hashing by Proximity to Process Duplicates in Spatial Databases
In a spatial database, an object may extend arbitrarily in space. As a result, many spatial data structures e.g., the quadtree, the cell tree, the R+-tree represent an object by p...
Walid G. Aref, Hanan Samet
CORR
2008
Springer
91views Education» more  CORR 2008»
14 years 10 months ago
Randomised Variable Neighbourhood Search for Multi Objective Optimisation
Various local search approaches have recently been applied to machine scheduling problems under multiple objectives. Their foremost consideration is the identification of the set ...
Martin Josef Geiger
MVA
2007
179views Computer Vision» more  MVA 2007»
14 years 9 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
IPMI
2007
Springer
15 years 10 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu