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CVPR
2009
IEEE
1695views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Geometric min-Hashing: Finding a (Thick) Needle in a Haystack
We propose a novel hashing scheme for image retrieval, clustering and automatic object discovery. Unlike commonly used bag-of-words approaches, the spatial extent of image featu...
Ondrej Chum (Czech Technical University), Michal P...
HIPEAC
2009
Springer
14 years 2 months ago
Finding Stress Patterns in Microprocessor Workloads
Power consumption has emerged as a key design concern across the entire computing range, from low-end embedded systems to high-end supercomputers. Understanding the power character...
Frederik Vandeputte, Lieven Eeckhout
BMCBI
2008
208views more  BMCBI 2008»
13 years 7 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
SNPD
2010
13 years 9 months ago
Explaining Classification by Finding Response-Related Subgroups in Data
Abstract--A method for explaining results of a regressionbased classifier is proposed. The data is clustered using a metric extracted from the classifier. This way, clusters found ...
Elina Parviainen, Aki Vehtari
BIRTHDAY
2010
Springer
13 years 8 months ago
Finding Reductions Automatically
Abstract. We describe our progress building the program ReductionFinder, which uses off-the-shelf SAT solvers together with the Cmodels system to automatically search for reduction...
Michael Crouch, Neil Immerman, J. Eliot B. Moss