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» Convex Learning with Invariances
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CVPR
2008
IEEE
14 years 11 months ago
Structure learning in random fields for heart motion abnormality detection
Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are dif...
Glenn Fung, Kevin Murphy, Mark Schmidt, Róm...
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 9 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
AAAI
2012
11 years 11 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
SIAMJO
2010
127views more  SIAMJO 2010»
13 years 3 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
ASIAN
2006
Springer
152views Algorithms» more  ASIAN 2006»
14 years 21 days ago
Inferring Disjunctive Postconditions
Polyhedral analysis [9] is an abstract interpretation used for automatic discovery of invariant linear inequalities among numerical varia program. Convexity of this abstract domain...
Corneliu Popeea, Wei-Ngan Chin