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» Distributed performance testing using statistical modeling
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ICCV
2005
IEEE
15 years 7 months ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
137
Voted
AUSAI
2008
Springer
15 years 4 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
BMCBI
2004
113views more  BMCBI 2004»
15 years 2 months ago
Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide array
Background: To identify differentially expressed genes across experimental conditions in oligonucleotide microarray experiments, existing statistical methods commonly use a summar...
Leah Barrera, Chris Benner, Yong-Chuan Tao, Elizab...
164
Voted
ICFHR
2010
214views Biometrics» more  ICFHR 2010»
14 years 9 months ago
Special Radical Detection by Statistical Classification for On-line Handwritten Chinese Character Recognition
The hierarchical nature of Chinese characters has inspired radical-based recognition, but radical segmentation from characters remains a challenge. We previously proposed a radica...
Long-Long Ma, Adrien Delaye, Cheng-Lin Liu
102
Voted
CEC
2008
IEEE
15 years 8 months ago
Decentralised distributed multiple objective particle swarm optimisation using peer to peer networks
—This paper describes a distributed particle swarm optimisation algorithm (PSO) based on peer-to-peer computer networks. A number of modifications are made to the more tradition...
Ian Scriven, Andrew Lewis, David Ireland, Junwei L...