Sciweavers

1514 search results - page 285 / 303
» Co-Tracking Using Semi-Supervised Support Vector Machines
Sort
View
NSDI
2008
15 years 2 days ago
Designing and Implementing Malicious Hardware
Hidden malicious circuits provide an attacker with a stealthy attack vector. As they occupy a layer below the entire software stack, malicious circuits can bypass traditional defe...
Samuel T. King, Joseph Tucek, Anthony Cozzie, Chri...
NIPS
2003
14 years 11 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
TRECVID
2007
14 years 11 months ago
TRECVID 2007 High Level Feature Extraction experiments at JOANNEUM RESEARCH
This paper describes our experiments for the high level feature extraction task in TRECVid 2007. We submitted the following five runs: • A jr1 1: Baseline run using early fusio...
Roland Mörzinger, Georg Thallinger
BMCBI
2010
97views more  BMCBI 2010»
14 years 10 months ago
SeqRate: sequence-based protein folding type classification and rates prediction
Background: Protein folding rate is an important property of a protein. Predicting protein folding rate is useful for understanding protein folding process and guiding protein des...
Guan Ning Lin, Zheng Wang, Dong Xu, Jianlin Cheng
BMCBI
2007
107views more  BMCBI 2007»
14 years 10 months ago
Prediction of potential drug targets based on simple sequence properties
Background: During the past decades, research and development in drug discovery have attracted much attention and efforts. However, only 324 drug targets are known for clinical dr...
Qingliang Li, Luhua Lai