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» Provenance for Computational Tasks: A Survey
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FOCS
2010
IEEE
14 years 8 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
CHI
2011
ACM
14 years 1 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
DCOSS
2007
Springer
15 years 4 months ago
Distributed Coalition Formation in Visual Sensor Networks: A Virtual Vision Approach
Abstract. We propose a distributed coalition formation strategy for collaborative sensing tasks in camera sensor networks. The proposed model supports taskdependent node selection ...
Faisal Qureshi, Demetri Terzopoulos
ICRA
2002
IEEE
136views Robotics» more  ICRA 2002»
15 years 2 months ago
Motion Dynamics of a Rover with Slip-Based Traction Model
This paper investigates kinetic behavior of a planetary rover with attention to tire-soil traction mechanics and articulated body dynamics, and thereby study the control when the ...
Kazuya Yoshida, Hiroshida Hamano