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» Learning to Identify Unexpected Instances in the Test Set
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NSPW
2006
ACM
14 years 1 months ago
Dark application communities
In considering new security paradigms, it is often worthwhile to anticipate the direction and nature of future attack paradigms. We identify a class of attacks based on the idea o...
Michael E. Locasto, Angelos Stavrou, Angelos D. Ke...
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
13 years 5 months ago
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation
Abstract— Autonomous robot navigation in unstructured outdoor environments is a challenging and largely unsolved area of active research. The navigation task requires identifying...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...
APWEB
2009
Springer
13 years 11 months ago
Ontology Evaluation through Text Classification
We present a new method to evaluate a search ontology, which relies on mapping ontology instances to textual documents. On the basis of this mapping, we evaluate the adequacy of on...
Yael Dahan Netzer, David Gabay, Meni Adler, Yoav G...
IJCV
2008
106views more  IJCV 2008»
13 years 7 months ago
Evaluation of Localized Semantics: Data, Methodology, and Experiments
We present a new data set encoding localized semantics for 1014 images and a methodology for using this kind of data for recognition evaluation. This methodology establishes protoc...
Kobus Barnard, Quanfu Fan, Ranjini Swaminathan, An...
ICCAD
1998
IEEE
76views Hardware» more  ICCAD 1998»
13 years 11 months ago
Functional debugging of systems-on-chip
Due to the exponential growth of both design complexity and the number of gates per pin, functional debugging has emerged as a critical step in the development of a system-on-chip...
Darko Kirovski, Miodrag Potkonjak, Lisa M. Guerra