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» Using Data Mining to Estimate Missing Sensor Data
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SIBGRAPI
2008
IEEE
16 years 11 days ago
Structural Matching of 2D Electrophoresis Gels using Graph Models
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
WCE
2007
15 years 7 months ago
A Dynamic Method for the Evaluation and Comparison of Imputation Techniques
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Estimating the uncertainty inherent ...
Norman Solomon, Giles Oatley, Kenneth McGarry
TITS
2011
165views more  TITS 2011»
15 years 28 days ago
Analysis of Real-World Driver's Frustration
—This study investigates a method for estimating a driver’s spontaneous frustration in the real world. In line with a specific definition of emotion, the proposed method inte...
Lucas Malta, Chiyomi Miyajima, Norihide Kitaoka, K...
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 6 months ago
Very sparse random projections
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Ping Li, Trevor Hastie, Kenneth Ward Church
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
16 years 19 days ago
Slip ratio for lugged wheel of planetary rover in deformable soil: definition and estimation
—The wheel slip ratio is an important state variable in terramechanics research and the control of planetary rovers. Definitions of the slip ratio for a wheel with lugs and metho...
Liang Ding, Haibo Gao, Zongquan Deng, Kazuya Yoshi...