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» Results of the KDD'99 Classifier Learning
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ISIWI
2000
13 years 10 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
CCIA
2009
Springer
13 years 10 months ago
Measuring Interest of Human Dyadic Interactions
In this paper, we argue that only using behavioural motion information, we are able to predict the interest of observers when looking at face-to-face interactions. We propose a set...
Sergio Escalera, Oriol Pujol, Petia Radeva, Jordi ...
ICML
2006
IEEE
14 years 10 months ago
Feature subset selection bias for classification learning
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...
Surendra K. Singhi, Huan Liu
CVPR
2003
IEEE
14 years 11 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
BMCBI
2010
208views more  BMCBI 2010»
13 years 9 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...