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CORR
2007
Springer
164views Education» more  CORR 2007»
13 years 9 months ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach
DAGM
2008
Springer
13 years 11 months ago
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Christoph H. Lampert, Matthew B. Blaschko
CVPR
2009
IEEE
15 years 5 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
ICPR
2010
IEEE
14 years 1 months ago
AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach
Ziming Zhang, Ze-Nian Li, Mark S. Drew
PAMI
2008
83views more  PAMI 2008»
13 years 9 months ago
Kernels for Generalized Multiple-Instance Learning
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...