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» Exploiting nonstationarity for performance prediction
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ML
2002
ACM
178views Machine Learning» more  ML 2002»
14 years 9 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
14 years 8 months ago
Learning visibility of landmarks for vision-based localization
— We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from t...
Pablo Fernández Alcantarilla, Sang Min Oh, ...
81
Voted
MICCAI
2010
Springer
14 years 8 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
115
Voted
SIGSOFT
2010
ACM
14 years 7 months ago
Multiplicity computing: a vision of software engineering for next-generation computing platform applications
New technologies have recently emerged to challenge the very nature of computing: multicore processors, virtualized operating systems and networks, and data-center clouds. One can...
Cristian Cadar, Peter Pietzuch, Alexander L. Wolf
ICISC
2009
125views Cryptology» more  ICISC 2009»
14 years 7 months ago
Power Analysis of Single-Rail Storage Elements as Used in MDPL
Several dual-rail logic styles make use of single-rail flip-flops for storing intermediate states. We show that single mask bits, as applied by various side-channel resistant logic...
Amir Moradi, Thomas Eisenbarth, Axel Poschmann, Ch...