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141
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JMLR
2008
150views more  JMLR 2008»
15 years 3 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
151
Voted
SIGCSE
2008
ACM
192views Education» more  SIGCSE 2008»
15 years 3 months ago
Enhancing learning management systems to better support computer science education
Many individual instructors--and, in some cases, entire universities--are gravitating towards the use of comprehensive learning management systems (LMSs), such as Blackboard and M...
Guido Rößling, Mike Joy, Andrés ...
165
Voted
SIAMIS
2010
156views more  SIAMIS 2010»
14 years 10 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
ICML
2008
IEEE
16 years 4 months ago
An RKHS for multi-view learning and manifold co-regularization
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
Vikas Sindhwani, David S. Rosenberg
AROBOTS
2007
159views more  AROBOTS 2007»
15 years 3 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone