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ACL
2010
13 years 8 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...
CVPR
2012
IEEE
12 years 11 days ago
Unsupervised metric fusion by cross diffusion
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
AAAI
2007
14 years 8 days ago
PhotoSlap: A Multi-player Online Game for Semantic Annotation
Multimedia content presents special challenges for the search engines, and could benefit from semantic annotation of images. Unfortunately, manual labeling is too tedious and tim...
Chien-Ju Ho, Tsung-Hsiang Chang, Jane Yung-jen Hsu
ENC
2003
IEEE
14 years 3 months ago
Metrics for Symbol Clustering from a Pseudoergodic Information Source
We discuss a set of metrics, which aims to facilitate the formation of symbol groups from a pseudoergodic information source. An optimal codification can then be applied on the sy...
Angel Fernando Kuri Morales, Oscar Herrera-Alcanta...
ATAL
2006
Springer
13 years 12 months ago
Can good learners always compensate for poor learners?
Can a good learner compensate for a poor learner when paired in a coordination game? Previous work has given an example where a special learning algorithm (FMQ) is capable of doin...
Keith Sullivan, Liviu Panait, Gabriel Catalin Bala...