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» Algorithms for Spatial Outlier Detection
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DPHOTO
2009
138views Hardware» more  DPHOTO 2009»
13 years 5 months ago
Statistical identification and analysis of defect development in digital imagers
The lifetime of solid-state image sensors is limited by the appearance of defects, particularly hot-pixels, which we have previously shown to develop continuously over the sensor ...
Jenny Leung, Glenn H. Chapman, Zahava Koren, Israe...
ICIP
2003
IEEE
14 years 9 months ago
Graylevel alignment between two images using linear programming
A critical step in defect detection for semiconductorprocess is to align a test image against a reference. This includes both spatial alignment and grayscale alignment. For the la...
E. Y. Lam
ASPDAC
2006
ACM
230views Hardware» more  ASPDAC 2006»
14 years 1 months ago
Statistical Bellman-Ford algorithm with an application to retiming
— Process variations in digital circuits make sequential circuit timing validation an extremely challenging task. In this paper, a Statistical Bellman-Ford (SBF) algorithm is pro...
Mongkol Ekpanyapong, Thaisiri Watewai, Sung Kyu Li...
DCOSS
2007
Springer
13 years 11 months ago
Energy-Efficient Data Acquisition Using a Distributed and Self-organizing Scheduling Algorithm for Wireless Sensor Networks
Abstract. Wireless sensor networks are often densely deployed for environmental monitoring applications. Collecting raw data from these networks can lead to excessive energy consum...
Supriyo Chatterjea, Tim Nieberg, Yang Zhang, Paul ...
CVPR
2007
IEEE
14 years 9 months ago
Multi-class object tracking algorithm that handles fragmentation and grouping
We propose a framework for detecting and tracking multiple interacting objects, while explicitly handling the dual problems of fragmentation (an object may be broken into several ...
Biswajit Bose, Xiaogang Wang, Eric Grimson