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» SMDS Measurements and Modeling to Predict Performance
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ESEM
2008
ACM
14 years 11 months ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...
BMCBI
2010
133views more  BMCBI 2010»
14 years 10 months ago
Integrated prediction of one-dimensional structural features and their relationships with conformational flexibility in helical
Background: Many structural properties such as solvent accessibility, dihedral angles and helix-helix contacts can be assigned to each residue in a membrane protein. Independent s...
Shandar Ahmad, Yumlembam Hemjit Singh, Yogesh Paud...
CVPR
2007
IEEE
15 years 12 months ago
Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention
A critical function in both machine vision and biological vision systems is attentional selection of scene regions worthy of further analysis by higher-level processes such as obj...
Robert J. Peters, Laurent Itti
EICS
2009
ACM
15 years 4 months ago
TnToolkit: a design and analysis tool for ambiguous, QWERTY, and on-screen keypads
The pervasive use of ambiguous keypads for mobile text entry necessitates examination of their performance characteristics. This paper presents TnToolkit – a self-contained tool...
Steven J. Castellucci, I. Scott MacKenzie
VR
2003
IEEE
267views Virtual Reality» more  VR 2003»
15 years 3 months ago
An Experiment Comparing Double Exponential Smoothing and Kalman Filter-Based Predictive Tracking Algorithms
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show t...
Joseph J. LaViola Jr.