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ICCV
2009
IEEE
15 years 2 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
ICONIP
2009
15 years 2 months ago
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Mónica Millán-Giraldo, J. Salvador S...
TIP
2010
141views more  TIP 2010»
14 years 11 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
TITS
2010
201views Education» more  TITS 2010»
14 years 11 months ago
A Review of the Applications of Agent Technology in Traffic and Transportation Systems
The agent computing paradigm is rapidly emerging as one of the powerful technologies for the development of largescale distributed systems to deal with the uncertainty in a dynamic...
Bo Chen, Harry H. Cheng
TON
2010
115views more  TON 2010»
14 years 11 months ago
Design and Provisioning of WDM Networks With Many-to-Many Traffic Grooming
A large number of network applications today allow several users to interact together using the many-to-many service mode. In many-to-many communication, also referred to as group ...
M. A. Saleh, A. E. Kamal