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» On Learning Embedded Symmetric Concepts
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ICML
2007
IEEE
14 years 11 months ago
Non-isometric manifold learning: analysis and an algorithm
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
Piotr Dollár, Serge J. Belongie, Vincent Ra...
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 4 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
14 years 4 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
CP
2000
Springer
14 years 3 months ago
Constraint-Based Agents: The ABC's of CBA's
The Constraint-Based Agent (CBA) framework is a set of tools for designing, simulating, building, verifying, optimizing, learning and debugging controllers for agents embedded in a...
Alan K. Mackworth
ICSE
2007
IEEE-ACM
14 years 11 months ago
Reconceptualizing a Family of Heterogeneous Embedded Systems via Explicit Architectural Support
It has been widely advocated that software architecture an effective set of abstractions for engineering (families of) complex software systems. However, architectural concepts ar...
Sam Malek, Chiyoung Seo, Sharmila Ravula, Brad Pet...