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» Scalable Metric Learning for Co-Embedding
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ICML
2007
IEEE
14 years 6 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
13 years 3 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
MMS
2006
13 years 5 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
INFOCOM
2008
IEEE
13 years 12 months ago
Minerva: Learning to Infer Network Path Properties
—Knowledge of the network path properties such as latency, hop count, loss and bandwidth is key to the performance of overlay networks, grids and p2p applications. Network operat...
Rita H. Wouhaybi, Puneet Sharma, Sujata Banerjee, ...
JIPS
2010
195views more  JIPS 2010»
13 years 7 days ago
Distributed and Scalable Intrusion Detection System Based on Agents and Intelligent Techniques
Abstract--The Internet explosion and the increase in crucial web applications such as ebanking and e-commerce, make essential the need for network security tools. One of such tools...
Aly M. El-Semary, Mostafa Gadal-Haqq M. Mostafa