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NC
1998
140views Neural Networks» more  NC 1998»
15 years 7 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
ADHOCNETS
2009
Springer
15 years 10 months ago
Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion ...
Sevil Sen, John A. Clark, Juan E. Tapiador
PCM
2010
Springer
183views Multimedia» more  PCM 2010»
15 years 4 months ago
Fast H.264 Encoding Based on Statistical Learning
Abstract. In this paper, we propose an efficient video coding system that applies statistical learning methods to reduce the computational cost in H.264 encoder. The proposed metho...
Chen-Kuo Chiang, Shang-Hong Lai
DIMVA
2011
14 years 9 months ago
An Assessment of Overt Malicious Activity Manifest in Residential Networks
While conventional wisdom holds that residential users experience a high degree of compromise and infection, this presumption has seen little validation in the way of an in-depth s...
Gregor Maier, Anja Feldmann, Vern Paxson, Robin So...
ICPR
2006
IEEE
15 years 12 months ago
Tensor Voting Accelerated by Graphics Processing Units (GPU)
This paper presents a new GPU-based tensor voting implementation which achieves significant performance improvement over the conventional CPU-based implementation. Although the t...
Changki Min, Gérard G. Medioni