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CONEXT
2007
ACM
15 years 8 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
EOR
2007
117views more  EOR 2007»
15 years 6 months ago
Considering manufacturing cost and scheduling performance on a CNC turning machine
A well known industry application that allows controllable processing times is the manufacturing operations on CNC machines. For each turning operation as an example, there is a n...
Sinan Gurel, M. Selim Akturk
ACL
2012
13 years 9 months ago
A Ranking-based Approach to Word Reordering for Statistical Machine Translation
Long distance word reordering is a major challenge in statistical machine translation research. Previous work has shown using source syntactic trees is an effective way to tackle ...
Nan Yang, Mu Li, Dongdong Zhang, Nenghai Yu
CVPR
1996
IEEE
16 years 8 months ago
A Stereo Machine for Video-Rate Dense Depth Mapping and Its New Applications
We have developed a video-rate stereo machine that has the capability of generating a dense depth map at the video rate. The performance bench marks of the CMU video-rate stereo m...
Takeo Kanade, Atsushi Yoshida, Kazuo Oda, Hiroshi ...
ECCV
2006
Springer
16 years 8 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...