8 search results - page 1 / 2 » Unsupervised Feature Learning through Divergent Discriminati... |
MDAI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Common inductive learning strategies offer the tools for knowledge acquisition, but possess some inherent limitations due to the use of fixed bias during the learning p...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a f...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
AROBOTS
2010
13 years 5 months ago
2010
Abstract This work introduces a self-supervised architecture for robust classification of moving obstacles in urban environments. Our approach presents a hierarchical scheme that r...
JMLR
2012
11 years 7 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...