JMLR
2012
11 years 7 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
JMLR
2012
11 years 7 months ago
2012
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Despite recent successes, pose estimators are still somewhat fragile, and they frequently rely on a precise knowledge of the location of the object. Unfortunately, articulated obj...
SIGIR
2011
ACM
12 years 7 months ago
2011
ACM
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
IJON
2002
13 years 4 months ago
2002
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
CRV
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
This paper introduces a simple and efficient representation for natural images. We partition an image into blocks and treat the blocks as vectors in a high-dimensional space. We t...