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CVPR
2010
IEEE
15 years 9 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
ESSOS
2009
Springer
15 years 8 months ago
Toward Non-security Failures as a Predictor of Security Faults and Failures
In the search for metrics that can predict the presence of vulnerabilities early in the software life cycle, there may be some benefit to choosing metrics from the non-security rea...
Michael Gegick, Pete Rotella, Laurie Williams
PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
GLOBECOM
2009
IEEE
15 years 8 months ago
Capacity Impact of Location-Aware Cognitive Sensing
— We study Bayesian detection based cognitive sensing and analyze its impact on the capacity in various cases of location information. In a network of one primary and one cogniti...
Peng Jia, Mai Vu, Tho Le-Ngoc
ICASSP
2009
IEEE
15 years 8 months ago
A Bayesian approach to HMM-based speech synthesis
This paper proposes a new framework of speech synthesis based on the Bayesian approach. The Bayesian method is a statistical technique for estimating reliable predictive distribut...
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Takas...