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142
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ICIP
2005
IEEE
16 years 4 months ago
Using appearance and context for outdoor scene object classification
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down contr...
Anna Bosch, Joan Martí, Xavier Muñoz
128
Voted
PR
2008
140views more  PR 2008»
15 years 2 months ago
An incremental node embedding technique for error correcting output codes
The error correcting output codes (ECOC) technique is a useful way to extend any binary classifier to the multiclass case. The design of an ECOC matrix usually considers an a prio...
Oriol Pujol, Sergio Escalera, Petia Radeva
134
Voted
BMCBI
2005
118views more  BMCBI 2005»
15 years 2 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken
149
Voted
JMLR
2010
115views more  JMLR 2010»
14 years 9 months ago
O-IPCAC and its Application to EEG Classification
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, E...
139
Voted
ML
2000
ACM
124views Machine Learning» more  ML 2000»
15 years 2 months ago
Text Classification from Labeled and Unlabeled Documents using EM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...