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» Selectivity Estimation using Probabilistic Models
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ICPR
2008
IEEE
15 years 11 months ago
Robust indoor activity recognition via boosting
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
CSDA
2006
98views more  CSDA 2006»
15 years 4 months ago
GS-distributions: A new family of distributions for continuous unimodal variables
The choice of the best-suited statistical distribution for modeling data is not a trivial issue. Unless a sound theoretical background exists for selecting a particular distributi...
J. M. Muiño, Eberhard O. Voit, Albert Sorri...
WWW
2004
ACM
16 years 5 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
ADC
2008
Springer
135views Database» more  ADC 2008»
15 years 11 months ago
Faster Path Indexes for Search in XML Data
This article describes how to implement efficient memory resident path indexes for semi-structured data. Two techniques are introduced, and they are shown to be significantly fas...
Nils Grimsmo