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ICML
2008
IEEE
14 years 8 months ago
Learning to classify with missing and corrupted features
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Ofer Dekel, Ohad Shamir
CORR
2010
Springer
159views Education» more  CORR 2010»
13 years 4 months ago
On optimizing over lift-and-project closures
The lift-and-project closure is the relaxation obtained by computing all lift-and-project cuts from the initial formulation of a mixed integer linear program or equivalently by co...
Pierre Bonami
VLSI
2010
Springer
13 years 5 months ago
Fine-grained post placement voltage assignment considering level shifter overhead
—Multi-Vdd techniques enable application of lower supply voltage levels on cells with timing slacks. New voltage assignment, placement and voltage island partitioning methods are...
Zohreh Karimi, Majid Sarrafzadeh
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
14 years 28 days ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
TMI
2002
248views more  TMI 2002»
13 years 7 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson