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» The Dark Side of Object Learning: Learning Objects
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ERCIMDL
2009
Springer
167views Education» more  ERCIMDL 2009»
14 years 2 months ago
Conceptual Discovery of Educational Resources through Learning Objectives
This poster reports on current work with the NSF-funded Achievement Standards Network (ASN) to support discovery of educational resources in digital libraries using conceptual grap...
Stuart A. Sutton, Diny Golder
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 9 days ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
CVPR
2011
IEEE
13 years 3 months ago
Learning Object Color Models from Multi-view Constraints
Color is known to be highly discriminative for many object recognition tasks, but is difficult to infer from uncontrolled images in which the illuminant is not known. Traditional...
Trevor Owens, Kate Saenko, Trevor Darrell, Ayan Ch...
IJCNN
2007
IEEE
14 years 2 months ago
A Neural Network-based Learning Controller for Micro-sized Object Micromanipulation
Abstract— In this paper, automated micro-sized objects manipulation is investigated. The novelty of the proposed method lies on the compensation of all the nonlinear scaling forc...
Mohsen Shahini, William W. Melek, John T. W. Yeow
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
14 years 1 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...