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» Input Modeling Using Quantile Statistical Methods
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GLVLSI
2010
IEEE
190views VLSI» more  GLVLSI 2010»
14 years 4 days ago
A linear statistical analysis for full-chip leakage power with spatial correlation
In this paper, we present an approved linear-time algorithm for statistical leakage analysis in the present of any spatial correlation condition (strong or weak). The new algorith...
Ruijing Shen, Sheldon X.-D. Tan, Jinjun Xiong
ACCV
1998
Springer
14 years 2 months ago
Shape Modeling from Multiple View Images Using GAs
Shape modeling is a very important issue for many study, for example, object recognition for robot vision, virtual environment construction, and so on. In this paper, a new method...
Satoshi Kirihara, Hideo Saito
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
14 years 4 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu
CVPR
2006
IEEE
14 years 1 months ago
Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours
Segmentation of ultrasound images is often a very challenging task due to speckle noise that contaminates the image. It is well known that speckle noise exhibits an asymmetric dis...
Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Mic...
BMCBI
2011
13 years 5 months ago
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
John J. Heine, Walker H. Land Jr., Kathleen M. Ega...