166 search results - page 3 / 34 » A Hybrid Learning Approach for Better Recognition of Visual ... |
CIKM
2005
Springer
13 years 11 months ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
3DPVT
2004
IEEE
13 years 9 months ago
2004
IEEE
In this paper, we present an algorithm to combine edge information from stereo-derived depth maps with edges from the original intensity/color image to improve the contour detecti...
IROS
2009
IEEE
14 years 3 days ago
2009
IEEE
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
PPSN
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...