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» Detecting critical regions in multidimensional data sets
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CVPR
2007
IEEE
14 years 9 months ago
Removal of Image Artifacts Due to Sensor Dust
Image artifacts that result from sensor dust are a common but annoying problem for many photographers. To reduce the appearance of dust in an image, we first formulate a model of ...
Changyin Zhou, Stephen Lin
CSB
2003
IEEE
128views Bioinformatics» more  CSB 2003»
14 years 1 months ago
Degenerate Primer Design via Clustering
This paper describes a new strategy for designing degenerate primers for a given multiple alignment of amino acid sequences. Degenerate primers are useful for amplifying homologou...
Xintao Wei, David N. Kuhn, Giri Narasimhan
ICCV
2009
IEEE
13 years 5 months ago
An HOG-LBP human detector with partial occlusion handling
By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we propose a novel human detection approach capable of handling partial occl...
Xiaoyu Wang, Tony X. Han, Shuicheng Yan
TON
2012
11 years 10 months ago
Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks
Abstract—Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. An important perfo...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang...
FLAIRS
2004
13 years 9 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...