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CVPR
2012
IEEE
13 years 9 months ago
Large scale metric learning from equivalence constraints
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
Martin Köstinger, Martin Hirzer, Paul Wohlhar...
178
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ACL
2012
13 years 9 months ago
Learning High-Level Planning from Text
Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina B...
AAAI
2012
13 years 9 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala
ICIP
2005
IEEE
16 years 8 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
ICPR
2008
IEEE
16 years 8 months ago
Incremental machine learning techniques for document layout understanding
In real-world Digital Libraries, Artificial Intelligence techniques are essential for tackling the automatic document processing task with sufficient flexibility. The great variab...
Floriana Esposito, Marenglen Biba, Stefano Ferilli...