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AAAI
2012
13 years 3 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala
ECCV
2008
Springer
15 years 3 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
FAST
2008
15 years 3 months ago
Portably Solving File TOCTTOU Races with Hardness Amplification
The file-system API of contemporary systems makes programs vulnerable to TOCTTOU (time of check to time of use) race conditions. Existing solutions either help users to detect the...
Dan Tsafrir, Tomer Hertz, David Wagner, Dilma Da S...
IPMI
2005
Springer
15 years 6 months ago
Imaging Tumor Microenvironment with Ultrasound
Abstract. Recent advances in molecular biology are providing new opportunities for breast cancer imaging. Our approach uses ultrasound to image viscoelastic features of tumors. The...
Mallika Sridhar, Michael F. Insana
BMCBI
2005
124views more  BMCBI 2005»
15 years 1 months ago
Probabilistic annotation of protein sequences based on functional classifications
: One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. ...
Emmanuel D. Levy, Christos A. Ouzounis, Walter R. ...