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FMOODS
2006
15 years 1 months ago
Generating Instance Models from Meta Models
Meta modeling is a wide-spread technique to define visual languages, with the UML being the most prominent one. Despite several advantages of meta modeling such as ease of use, the...
Karsten Ehrig, Jochen Malte Küster, Gabriele ...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 6 months ago
Set-Based Boosting for Instance-Level Transfer
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
Eric Eaton, Marie desJardins
DLOG
2006
15 years 1 months ago
On the Scalability of Description Logic Instance Retrieval
Abstract Practical description logic systems play an ever-growing role for knowledge representation and reasoning research even in distributed environments. In particular, the onto...
Ralf Möller, Volker Haarslev, Michael Wessel
ISVC
2010
Springer
14 years 10 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
CVPR
2009
IEEE
16 years 7 months ago
Visual Tracking with Online Multiple Instance Learning
In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called “tracking by detectionâ...
Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie