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» An Empirical Evaluation of Bagging and Boosting
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MCS
2009
Springer
14 years 23 hour ago
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
Amir Ahmad, Gavin Brown
AIA
2007
13 years 9 months ago
Classification of biomedical high-resolution micro-CT images for direct volume rendering
This paper introduces a machine learning approach into the process of direct volume rendering of biomedical highresolution 3D images. More concretely, it proposes a learning pipel...
Maite López-Sánchez, Jesús Ce...
ICVGIP
2008
13 years 9 months ago
Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
Adam Herout, Pavel Zemcík, Roman Jurá...
IJIT
2004
13 years 8 months ago
Computing Entropy for Ortholog Detection
Abstract-- Biological sequences from different species are called orthologs if they evolved from a sequence of a common ancestor species and they have the same biological function....
Hsing-Kuo Pao, John Case
EMMCVPR
2011
Springer
12 years 7 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...