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CVPR
2003
IEEE
14 years 11 months ago
Learning Appearance and Transparency Manifolds of Occluded Objects in Layers
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
Brendan J. Frey, Nebojsa Jojic, Anitha Kannan
MM
2006
ACM
120views Multimedia» more  MM 2006»
14 years 2 months ago
Mapping learning in eigenspace for harmonious caricature generation
This paper proposes a mapping learning approach for caricature auto-generation. Simulating the artist’s creativity based on the object’s facial feature, our approach targets d...
Junfa Liu, Yiqiang Chen, Wen Gao
AAAI
2007
13 years 11 months ago
Autonomous Development of a Grounded Object Ontology by a Learning Robot
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
Joseph Modayil, Benjamin Kuipers
HICSS
2012
IEEE
346views Biometrics» more  HICSS 2012»
12 years 4 months ago
The Fundamental Concept of Unified Generalized Model and Data Representation for New Applications in the Future Grid
The concept of interoperability of data and model as presented in this paper is viewed as being very useful for implementing variety of future applications related to power system...
Mladen Kezunovic, Santiago Grijalva, Papiya Dutta,...
ETS
2006
IEEE
119views Hardware» more  ETS 2006»
13 years 9 months ago
An Ontology-Based Framework for Bridging Learning Design and Learning Content
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and dev...
Colin Knight, Dragan Gasevic, Griff Richards