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» A Framework for Multiple-Instance Learning
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ICST
2008
IEEE
14 years 2 months ago
Distributed In Vivo Testing of Software Applications
The in vivo software testing methodology focuses on testing live applications by executing unit tests throughout the lifecycle, including after deployment. The motivation is that ...
Matt Chu, Christian Murphy, Gail E. Kaiser
JFR
2010
119views more  JFR 2010»
13 years 2 months ago
Unsupervised classification of dynamic obstacles in urban environments
This paper presents a solution to the problem of unsupervised classification of dynamic obstacles in urban environments. A track-based model is introduced for the integration of 2...
Roman Katz, Juan Nieto, Eduardo Mario Nebot

Publication
344views
12 years 5 months ago
Top-k Similarity Join over Multi-valued Objects
The top-k similarity joins have been extensively studied and used in a wide spectrum of applications such as information retrieval, decision making, spatial data analysis and dat...
Wenjie Zhang, Jing Xu, Xin Liang, Ying Zhang, Xuem...
C5
2003
IEEE
14 years 1 months ago
A Conceptual Framework for Learning Experience Design
This paper describes our approach of utilizing a computational environment to apply a learner’s learning process as a first class object. With this approach, the learner’s le...
Kumiyo Nakakoji, Kazuaki Yamada, Yasuhiro Yamamoto...
ACCV
2009
Springer
14 years 2 months ago
An Online Framework for Learning Novel Concepts over Multiple Cues
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
Luo Jie, Francesco Orabona, Barbara Caputo