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» Abduction in Classification Tasks
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ECAI
2006
Springer
15 years 1 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
ECML
2006
Springer
15 years 1 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
DMIN
2006
164views Data Mining» more  DMIN 2006»
14 years 11 months ago
Random Forest and PCA for Self-Organizing Maps based Automatic Music Genre Discrimination
Digital music distribution industry has seen a tremendous growth in resent years. Tasks such us automatic music genre discrimination address new and exciting research challenges. A...
Xin Jin, Rongfang Bie
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
14 years 11 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
CLEF
2010
Springer
14 years 11 months ago
Augmenting Bag-of-Words - Category Specific Features and Concept Reasoning
In this paper we present our approach to the 2010 ImageClef PhotoAnnotation task. Based on the well-known bag-of-words approach we suggest two extensions. First, we analyzed the im...
Eugene Mbanya, Christian Hentschel, Sebastian Gerk...