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SYNTHESE
2011
72views more  SYNTHESE 2011»
14 years 11 months ago
Science without (parametric) models: the case of bootstrap resampling
Scientific and statistical inferences build heavily on explicit, parametric models, and often with good reasons. However, the limited scope of parametric models and the increasin...
Jan Sprenger
ICTIR
2009
Springer
15 years 2 months ago
An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model
Intuitively, any `bag of words' approach in IR should benefit from taking term dependencies into account. Unfortunately, for years the results of exploiting such dependencies ...
Eduard Hoenkamp, Peter Bruza, Dawei Song, Qiang Hu...
ISBI
2004
IEEE
16 years 5 months ago
Search Space Partitioning Using Convex Hull and Concavity Features for Fast Medical Image Retrieval
A new approach is presented for partitioning an image database by classifying and indexing the convex hull shapes and the number of region concavities. The result is a significant...
Phillip Mlsna, Nikolay Sirakov
ICCV
2003
IEEE
16 years 6 months ago
Statistical Background Subtraction for a Mobile Observer
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Eric Hayman, Jan-Olof Eklundh
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 5 months ago
Bias and controversy: beyond the statistical deviation
In this paper, we investigate how deviation in evaluation activities may reveal bias on the part of reviewers and controversy on the part of evaluated objects. We focus on a `data...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang