189 search results - page 9 / 38 » Unsupervised Selective Transfer Learning for Object Recognit... |
ICCV
2009
IEEE
15 years 27 days ago
2009
IEEE
In many recent object recognition systems, feature extraction
stages are generally composed of a filter bank, a
non-linear transformation, and some sort of feature pooling
layer...
IJON
2007
13 years 7 months ago
2007
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
MVA
1996
13 years 9 months ago
1996
An adaptive object recognition scheme for image sequences of many object scenes is described. The scheme is applied for t r d c object recognition under ego-motion. The recursive ...
DAGM
2009
Springer
14 years 2 months ago
2009
Springer
The human ability to learn difficult object categories from just a few views is often explained by an extensive use of knowledge from related classes. In this work we study the use...