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NIPS
2004
9 years 13 days ago
Density Level Detection is Classification
We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretation we propose a support vector machine (SVM) for anomaly detection. We...
Ingo Steinwart, Don R. Hush, Clint Scovel
KES
2000
Springer
9 years 2 months ago
Genetically optimised feedforward neural networks for speaker identification
The problem of establishing the identity of a speaker from a given utterance has been conventionally addressed using techniques such as Gaussian Mixture Models (GMM's) that m...
Richard C. Price, Jonathan P. Willmore, William J....
COLT
2004
Springer
9 years 2 months ago
Model Selection by Bootstrap Penalization for Classification
We consider the binary classification problem. Given an i.i.d. sample drawn from the distribution of an X
Magalie Fromont
WWW
2007
ACM
9 years 11 months ago
Exploring in the weblog space by detecting informative and affective articles
Weblogs have become a prevalent source of information for people to express themselves. In general, there are two genres of contents in weblogs. The first kind is about the weblog...
Xiaochuan Ni, Gui-Rong Xue, Xiao Ling, Yong Yu, Qi...
ICIP
2008
IEEE
10 years 24 days ago
People re-detection using Adaboost with sift and color correlogram
People re-detection aims at performing re-identification of people who leave the scene and reappear after some time. This is an important problem especially in video surveillance ...
Lei Hu, Shuqiang Jiang, Qingming Huang, Wen Gao
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