1172 search results - page 9 / 235 » From Data Distributions to Regularization in Invariant Learn... |
ECCV
2008
Springer
15 years 8 days ago
2008
Springer
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
DAGM
2011
Springer
12 years 10 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
JMLR
2010
13 years 5 months ago
2010
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
SRDS
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents an instance based approach to diagnosing failures in computing systems. Owing to the fact that a large portion of occurred failures are repeated ones, our meth...
ECCV
2008
Springer
15 years 8 days ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...