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CONNECTION
2004
98views more  CONNECTION 2004»
9 years 11 months ago
Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting
While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
Bernard Ans, Stephane Rousset, Robert M. French, S...
IJNSEC
2007
83views more  IJNSEC 2007»
9 years 11 months ago
Secure Logging for Irrefutable Administration
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...
Paolo Dal Checco, Francesco Bergadano, Davide Cava...
IEICET
2006
60views more  IEICET 2006»
9 years 12 months ago
Temporal Sequences of Patterns with an Inverse Function Delayed Neural Network
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...
Johan Sveholm, Yoshihiro Hayakawa, Koji Nakajima
IJCAI
2003
10 years 1 months ago
Artificial Neural Network for Sequence Learning
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 ...
Sorin Moga, Philippe Gaussier
ECCV
2010
Springer
10 years 3 months ago
Probabilistic Deformable Surface Tracking From Multiple Videos
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...
AMDO
2006
Springer
10 years 3 months ago
Action Recognition Using Motion Primitives and Probabilistic Edit Distance
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-...
Preben Fihl, Michael B. Holte, Thomas B. Moeslund,...
ICIAP
2003
ACM
10 years 12 months ago
Dense 3D interpretation of image sequences: a variational approach using anisotropic diffusion
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...
Hicham Sekkati, Amar Mitiche
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