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SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 5 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
FLAIRS
2004
15 years 5 months ago
Adapting LSI for Fine-Grained and Multi-Level Document Comparison
In recent years, Latent Semantic Indexing (LSI) has been recognized as an effective tool for Information Retrieval in text documents. The level of "granularity" in LSI (...
Nicholas Adelman, Marin Simina
ICML
2010
IEEE
15 years 5 months ago
Multi-Class Pegasos on a Budget
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
Zhuang Wang, Koby Crammer, Slobodan Vucetic
ICML
2010
IEEE
15 years 5 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
CN
2010
110views more  CN 2010»
15 years 4 months ago
End-to-end quality of service seen by applications: A statistical learning approach
The focus of this work is on the estimation of quality of service (QoS) parameters seen by an application. Our proposal is based on end-to-end active measurements and statistical ...
Pablo Belzarena, Laura Aspirot