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» Learning Models for Object Recognition
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ECML
2007
Springer
16 years 19 days ago
Dual Strategy Active Learning
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
MVA
1990
162views Computer Vision» more  MVA 1990»
15 years 7 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
MM
2006
ACM
120views Multimedia» more  MM 2006»
16 years 13 days 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
ECAI
2004
Springer
15 years 12 months ago
Avatars That Learn How to Behave
It is possible to model avatars that learn to simulate object manipulations and other complex actions. A number of applications may benefit from this technique including safety, e...
Adam Szarowicz, Paolo Remagnino
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
16 years 19 days ago
Information Integration of Partially Labeled Data
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...
Steffen Rendle, Lars Schmidt-Thieme