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» Collaborative Tracking of Multiple Targets
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ECCV
2010
Springer
14 years 10 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
ATAL
2005
Springer
15 years 3 months ago
Performance of digital pheromones for swarming vehicle control
The use of digital pheromones for controlling and coordinating swarms of unmanned vehicles is studied under various conditions to determine their effectiveness in multiple militar...
John A. Sauter, Robert S. Matthews, H. Van Dyke Pa...
EMNLP
2007
14 years 11 months ago
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
We present a data-driven variant of the LR algorithm for dependency parsing, and extend it with a best-first search for probabilistic generalized LR dependency parsing. Parser act...
Kenji Sagae, Jun-ichi Tsujii
PPPJ
2009
ACM
15 years 4 months ago
Tracking performance across software revisions
Repository-based revision control systems such as CVS, RCS, Subversion, and GIT, are extremely useful tools that enable software developers to concurrently modify source code, man...
Nagy Mostafa, Chandra Krintz
ICRA
2007
IEEE
178views Robotics» more  ICRA 2007»
15 years 4 months ago
Distributed Cooperative Active Sensing Using Consensus Filters
— We consider the problem of multiple mobile sensor agents tracking the position of one or more moving targets. In our formulation, each agent maintains a target estimate, and ea...
Peng Yang, Randy A. Freeman, Kevin M. Lynch