3607 search results - page 36 / 722 » Learning with structured sparsity |
ML
2008
ACM
14 years 11 months ago
2008
ACM
ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
ECML
2007
Springer
15 years 6 months ago
2007
Springer
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...
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
CVPR
2010
IEEE
14 years 12 months ago
2010
IEEE
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...