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» A comparative study of two object recognition methods
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SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
14 years 11 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
ICC
2011
IEEE
225views Communications» more  ICC 2011»
13 years 9 months ago
Throughput-Optimal Half-Duplex Cooperative Scheme with Partial Decode-Forward Relaying
Abstract—We study a cooperative communication system consisting of two users in half duplex mode communicating with one destination over additive white Gaussian noise (AWGN). Coo...
Ahmad Abu Al Haija, Mai Vu
WWW
2002
ACM
15 years 10 months ago
Expert agreement and content based reranking in a meta search environment using Mearf
Recent increase in the number of search engines on the Web and the availability of meta search engines that can query multiple search engines makes it important to find effective ...
B. Uygar Oztekin, George Karypis, Vipin Kumar
BMCBI
2007
163views more  BMCBI 2007»
14 years 10 months ago
Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
Carmen Pin, Mark Reuter
ECCV
2006
Springer
15 years 11 months ago
Robust Multi-body Motion Tracking Using Commute Time Clustering
Abstract. The presence of noise renders the classical factorization method almost impractical for real-world multi-body motion tracking problems. The main problem stems from the ef...
Huaijun Qiu, Edwin R. Hancock