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» On Objective Measures of Rule Surprisingness
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CVPR
2001
IEEE
16 years 8 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
SIAMAM
2011
15 years 27 days ago
Imaging Schemes for Perfectly Conducting Cracks
We consider the problem of locating perfectly conducting cracks and estimating their geometric features from multi-static response matrix measurements at a single or multiple frequ...
Habib Ammari, Josselin Garnier, Hyeonbae Kang, Won...
ICALP
2009
Springer
16 years 22 days ago
Improved Bounds for Speed Scaling in Devices Obeying the Cube-Root Rule
Speed scaling is a power management technique that involves dynamically changing the speed of a processor. This gives rise to dualobjective scheduling problems, where the operating...
Nikhil Bansal, Ho-Leung Chan, Kirk Pruhs, Dmitriy ...
ER
1997
Springer
148views Database» more  ER 1997»
15 years 10 months ago
Intelligent Support for Retrieval and Synthesis of Patterns for Object-Oriented Design
Several decades of software engineering research confirm that effective reuse is the only realistic approach to meeting the ever-increasing demands on the software industry. Over ...
Sandeep Purao, Veda C. Storey
ICTAI
2007
IEEE
16 years 7 days ago
Exploratory Quantitative Contrast Set Mining: A Discretization Approach
Contrast sets have been shown to be a useful tool for describing differences between groups. A contrast set is a set of association rules for which the antecedents describe distin...
Mondelle Simeon, Robert J. Hilderman