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PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 1 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
SIGIR
2008
ACM
13 years 7 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
ACL
2010
13 years 5 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
2008
IEEE
14 years 9 months ago
Learning subcategory relevances for category recognition
Sinisa Todorovic, Narendra Ahuja
MIR
2004
ACM
89views Multimedia» more  MIR 2004»
14 years 1 months ago
Relevance feedback: perceptual learning and retrieval in bio-computing, photos, and video
Micha Haas, Joachim T. Rijsdam, Bart Thomee, Micha...