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» Dynamic Sample Selection for Approximate Query Processing
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SIAMIS
2011
13 years 3 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
SIGMOD
2003
ACM
111views Database» more  SIGMOD 2003»
14 years 8 months ago
Extended Wavelets for Multiple Measures
While work in recent years has demonstrated that wavelets can be efficiently used to compress large quantities of data and provide fast and fairly accurate answers to queries, lit...
Antonios Deligiannakis, Nick Roussopoulos
CIKM
2009
Springer
14 years 3 months ago
A signal-to-noise approach to score normalization
Score normalization is indispensable in distributed retrieval and fusion or meta-search where merging of result-lists is required. Distributional approaches to score normalization...
Avi T. Arampatzis, Jaap Kamps
VLDB
2007
ACM
166views Database» more  VLDB 2007»
14 years 2 months ago
To Share or Not To Share?
Intuitively, aggressive work sharing among concurrent queries in a database system should always improve performance by eliminating redundant computation or data accesses. We show...
Ryan Johnson, Nikos Hardavellas, Ippokratis Pandis...
IJCAI
2003
13 years 9 months ago
Use of Off-line Dynamic Programming for Efficient Image Interpretation
An interpretation system finds the likely mappings from portions of an image to real-world objects. An interpretation policy specifies when to apply which imaging operator, to whi...
Ramana Isukapalli, Russell Greiner