66 search results - page 13 / 14 » Learning Sparse SVM for Feature Selection on Very High Dimen... |
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
CCS
2007
ACM
13 years 11 months ago
2007
ACM
Intrusion detection is a critical component of secure information systems. Network anomaly detection has been an active and difficult research topic in the field of Intrusion Dete...
MICCAI
2005
Springer
14 years 6 months ago
2005
Springer
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
EMNLP
2007
13 years 7 months ago
2007
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...