89
Voted
CONNECTION
2004
15 years 1 days ago
2004
While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
85
Voted
IJNSEC
2007
15 years 3 days ago
2007
This paper presents a method that allows for securely saving a temporal sequence of data (log lines) in a file. Log lines are signed by an authority, and are thus unalterable wit...
74
Voted
IEICET
2006
15 years 6 days ago
2006
A network based on the Inverse Function Delayed (ID) model, which can recall a temporal sequence of patterns, is proposed. The classical problem, that the network is forced to make...
73
Voted
IJCAI
2003
15 years 1 months ago
2003
This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...
126
Voted
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. In this paper, we address the problem of tracking the temporal evolution of arbitrary shapes observed in multi-camera setups. This is motivated by the ever growing number...
125
Voted
AMDO
2006
Springer
15 years 4 months ago
2006
Springer
In this paper we describe a recognition approach based on the notion of primitives. As opposed to recognizing actions based on temporal trajectories or temporal volumes, primitive-...
103
Voted
ICIAP
2003
ACM
16 years 9 days ago
2003
ACM
The purpose of this study is to investigate a new method for recovering relative depth and 3D motion from a temporal sequence of monocular images. The method is direct insomuch as...