2903 search results - page 101 / 581 » The Dark Side of Object Learning: Learning Objects |
IADIS
2003
13 years 10 months ago
2003
One promise that has always been made in the field of e-learning is the possibility to create and deliver learning material that is adaptable to individual learners. Realising thi...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
ICPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
ICCV
2005
IEEE
14 years 11 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...