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» Measuring Model Transformation in Model Driven Development
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ALT
2006
Springer
16 years 24 days ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen
TASLP
2008
124views more  TASLP 2008»
15 years 3 months ago
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...
Cédric Févotte, Bruno Torrésa...
IJRR
2011
159views more  IJRR 2011»
14 years 10 months ago
Visual-inertial navigation, mapping and localization: A scalable real-time causal approach
We present a model to estimate motion from monocular visual and inertial measurements. We analyze the model and characterize the conditions under which its state is observable, an...
Eagle Jones, Stefano Soatto
MIA
2010
170views more  MIA 2010»
14 years 10 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
CORR
2010
Springer
169views Education» more  CORR 2010»
14 years 10 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda