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» Arguing from Experience to Classifying Noisy Data
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BMCBI
2007
106views more  BMCBI 2007»
13 years 9 months ago
Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logari
Background: Classifying nuclear magnetic resonance (NMR) spectra is a crucial step in many metabolomics experiments. Since several multivariate classification techniques depend up...
Helen M. Parsons, Christian Ludwig, Ulrich L. G&uu...
ICIP
2008
IEEE
14 years 10 months ago
Automated line flattening of Atomic Force Microscopy images
In this paper, an automated algorithm to flatten lines from Atomic Force Microscopy (AFM) images is presented. Due to the mechanics of the AFM, there is a curvature distortion (bo...
Sotirios A. Tsaftaris, Jana Zujovic, Aggelos K. Ka...
CVPR
2009
IEEE
15 years 4 months ago
Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search
Face verification has many potential applications including filtering and ranking image/video search results on celebrities. Since these images/videos are taken under uncontrolle...
Xiaogang Wang (MIT), Cha Zhang (Microsoft Research...
CVPR
2010
IEEE
14 years 1 months ago
Multi-Cue Pedestrian Classification with Partial Occlusion Handling
This paper presents a novel mixture-of-experts framework for pedestrian classification with partial occlusion handling. The framework involves a set of component-based expert clas...
Markus Enzweiler, Angela Eigenstetter, Bernt Schie...
LREC
2010
126views Education» more  LREC 2010»
13 years 10 months ago
Predictive Features for Detecting Indefinite Polar Sentences
In recent years, text classification in sentiment analysis has mostly focused on two types of classification, the distinction between objective and subjective text, i.e. subjectiv...
Michael Wiegand, Dietrich Klakow