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NIPS
2004
13 years 10 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
CVIU
2008
144views more  CVIU 2008»
13 years 9 months ago
Speeded-Up Robust Features (SURF)
This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously pro...
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc J....
FTEDA
2006
137views more  FTEDA 2006»
13 years 9 months ago
Statistical Performance Modeling and Optimization
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing process...
Xin Li, Jiayong Le, Lawrence T. Pileggi
CONCURRENCY
2007
83views more  CONCURRENCY 2007»
13 years 9 months ago
Enabling community access to TeraGrid visualization resources
Visualization is an important part of the data analysis process. Many researchers, however, do not have access to the resources required to do visualization effectively for large ...
Justin Binns, Jonathan DiCarlo, Joseph A. Insley, ...
IJSS
2007
82views more  IJSS 2007»
13 years 8 months ago
A holistic method for finding out critical features of industry maintenance services
— The purpose of this case study is to create a competitive operative management system for efficiency and quality performance for a company running maintenance service business ...
Juha-Matti Ranta, Josu Takala