610 search results - page 49 / 122 » Training a Selection Function for Extraction |
EVOW
2007
Springer
13 years 11 months ago
2007
Springer
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
WAPCV
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
NIPS
2007
13 years 9 months ago
2007
The peristimulus time histogram (PSTH) and its more continuous cousin, the spike density function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is us...
ACL
2009
13 years 5 months ago
2009
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...