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SIGIR
2009
ACM
16 years 1 months ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...

Publication
350views
16 years 6 months ago
Probabilistic Parameter Selection for Learning Scene Structure from Video
We present an online learning approach for robustly combining unreliable observations from a pedestrian detector to estimate the rough 3D scene geometry from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...
EDM
2010
129views Data Mining» more  EDM 2010»
15 years 8 months ago
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
Rebecca Nugent, Nema Dean, Elizabeth Ayers
BMVC
1998
15 years 7 months ago
A Novel Confidence-Based Framework for Multiple Expert Decision Fusion
A novel confidence-based parallel multiple expert decision combination framework is introduced. The traditional approaches to parallel multiple source decision fusion either take ...
Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst
CSDA
2007
111views more  CSDA 2007»
15 years 6 months ago
On rank tests for shift detection in time series
Robustified rank tests, applying a robust scale estimator, are investigated for reliable and fast shift detection in time series. The tests show good power for sufficiently larg...
Roland Fried, Ursula Gather