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» From Data Flow Networks to Process Algebras
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PAMI
2010
238views more  PAMI 2010»
14 years 10 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
INFOCOM
2009
IEEE
15 years 6 months ago
On Passive One-Way Loss Measurements Using Sampled Flow Statistics
—The ability to scalably measure one-way packet loss across different network paths is vital to IP network management. However, the effectiveness of active-measurement techniques...
Yu Gu, Lee Breslau, Nick G. Duffield, Subhabrata S...
ANSS
2003
IEEE
15 years 5 months ago
Dissemination Scenarios in Peer-to-Peer Networks
As the average bandwidth capacity is increasing, users around the world demand for shorter service time. While the servers are able to acquire more bandwidth, they can not keep up...
Konstantinos G. Zerfiridis, Helen D. Karatza
ICVS
2001
Springer
15 years 4 months ago
A Modular Software Architecture for Real-Time Video Processing
An increasing number of computer vision applications require on-line processing of data streams, preferably in real-time. This trend is fueled by the mainstream availability of low...
Alexandre R. J. François, Gérard G. ...
KDD
2008
ACM
224views Data Mining» more  KDD 2008»
16 years 7 days ago
The structure of information pathways in a social communication network
Social networks are of interest to researchers in part because they are thought to mediate the flow of information in communities and organizations. Here we study the temporal dyn...
Gueorgi Kossinets, Jon M. Kleinberg, Duncan J. Wat...