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AAAI
2006
14 years 11 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang
ICCV
2011
IEEE
13 years 9 months ago
Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...
Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu,...
CBMS
2005
IEEE
15 years 3 months ago
A Spreadsheet Framework for Visual Exploration of Biomedical Datasets
In this paper, we present our spreadsheet framework, which uses a spreadsheet-like interface for exploring biomedical datasets. The principles and advantages of this class of visu...
Sofiane Sarni, Anderson Maciel, Ronan Boulic, Dani...
ESWS
2007
Springer
15 years 3 months ago
Leveraging Existing Web Frameworks for a SIOC Explorer to Browse Online Social Communities
Since online Semantic Web applications are based on existing Web infrastructure, developing these applications could leverage experiences with and infrastructure of existing framew...
Benjamin Heitmann, Eyal Oren
CEC
2010
IEEE
14 years 10 months ago
Exploring the Kuramoto model of coupled oscillators in minimally cognitive evolutionary robotics tasks
— This work is the first attempt to investigate the neural dynamics of a simulated robotic agent engaged in minimally cognitive tasks by employing evolved instances of the Kuram...
Renan C. Moioli, Patrícia Amâncio Var...