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» A probabilistic model based approach for blended search
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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 4 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
ICPR
2004
IEEE
14 years 8 months ago
Model Based Object Recognition by Robust Information Fusion
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
Haifeng Chen, Ilan Shimshoni, Peter Meer
DASFAA
2009
IEEE
133views Database» more  DASFAA 2009»
14 years 2 months ago
Probabilistic Ranking in Uncertain Vector Spaces
Abstract. In many application domains, e.g. sensor databases, traffic management or recognition systems, objects have to be compared based on positionally and existentially uncert...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
CIARP
2006
Springer
13 years 9 months ago
A Probabilistic Approach to Build 2D Line Based Maps from Laser Scans in Indoor Environments
In this work we consider a mobile robot with a laser range finder. Our goal is to find the best set of lines from the sequence of points given by a laser scan. We propose a probabi...
Leonardo Romero, Carlos Lara
ICDE
2010
IEEE
210views Database» more  ICDE 2010»
14 years 8 days ago
IQ^P: Incremental Query Construction, a Probabilistic Approach
—This paper presents IQP - a novel approach to bridge the gap between usability of keyword search and expressiveness of database queries. IQP enables a user to start with an arbi...
Elena Demidova, Xuan Zhou, Wolfgang Nejdl