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ECML
2007
Springer
15 years 10 months ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
ICIP
2010
IEEE
15 years 2 months ago
Learning denoising bounds for noisy images
In [1], we derived an expression for the fundamental limit to image denoising assuming that the noise-free image is available. In this paper, we propose an estimator for the bound...
Priyam Chatterjee, Peyman Milanfar
127
Voted
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 10 months ago
A learning framework for generic sensory-motor maps
— We present a new approach to cope with unknown redundant systems. For this we present i) an online algorithm that learns general input-output restrictions and, ii) a method tha...
Manuel Lopes, Bruno D. Damas
ACL
2007
15 years 6 months ago
SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking
We study the issue of porting a known NLP method to a language with little existing NLP resources, specifically Hebrew SVM-based chunking. We introduce two SVM-based methods – ...
Yoav Goldberg, Michael Elhadad
ALGORITHMICA
2007
132views more  ALGORITHMICA 2007»
15 years 4 months ago
On the Feasibility of Time Estimation under Isolation Conditions in Wireless Sensor Networks
We study the problem of providing a sensor with an accurate estimate of the time, from a novel perspective which is complementary to the well-studied clock synchronization problem....
Daniela Tulone