38 search results - page 1 / 8 » Object Localization Using Input Output Recursive Neural Netw... |
ICPR
2006
IEEE
14 years 6 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...
IWANN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper presents a comparison between direct and recursive prediction strategies. In order to perform the input selection, an approach based on mutual information is u...
WAPCV
2004
Springer
13 years 10 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 ...
ESANN
2000
13 years 6 months ago
2000
Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
Prediction of dynamic features is an important task for determining the manipulation strategies of an object. This paper presents a technique for predicting dynamics of objects re...