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» Extremal Problems of Information Combining
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CVPR
2009
IEEE
17 years 1 months ago
HOP: Hierarchical Object Parsing
In this paper we consider the problem of object parsing, namely detecting an object and its components by composing them from image observations. Apart from object localization, ...
Iasonas Kokkinos, Alan L. Yuille
182
Voted
KAIS
2010
144views more  KAIS 2010»
15 years 4 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz
184
Voted
CLEF
2009
Springer
15 years 3 months ago
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
CEC
2009
IEEE
16 years 27 days ago
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization
—Multi-objective optimization is an essential and challenging topic in the domains of engineering and computation because real-world problems usually include several conflicting...
Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang
AAAI
2007
15 years 8 months ago
Hybrid Inference for Sensor Network Localization Using a Mobile Robot
In this paper, we consider a hybrid solution to the sensor network position inference problem, which combines a real-time filtering system with information from a more expensive,...
Dimitri Marinakis, David Meger, Ioannis M. Rekleit...