288 search results - page 16 / 58 » TCP Traffic Classification Using Markov Models |
167
Voted
AVSS
2007
IEEE
16 years 21 days ago
2007
IEEE
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
204
Voted
ICIP
2003
IEEE
16 years 8 months ago
2003
IEEE
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
199
Voted
CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We address the problem of label assignment in computer
vision: given a novel 3-D or 2-D scene, we wish to assign a
unique label to every site (voxel, pixel, superpixel, etc.). To...
174
Voted
CN
2004
15 years 6 months ago
2004
This paper proposes a traffic model and a parameter fitting procedure that are capable of achieving accurate prediction of the queuing behavior for IP traffic exhibiting long-rang...
230
Voted
TON
2010
15 years 1 months ago
2010
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...