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WWW
2008
ACM
14 years 6 months ago
Mining the search trails of surfing crowds: identifying relevant websites from user activity
The paper proposes identifying relevant information sources from the history of combined searching and browsing behavior of many Web users. While it has been previously shown that...
Mikhail Bilenko, Ryen W. White
CORR
2011
Springer
182views Education» more  CORR 2011»
12 years 9 months ago
Adaptively Learning the Crowd Kernel
We introduce an algorithm that, given n objects, learns a similarity matrix over all n2 pairs, from crowdsourced data alone. The algorithm samples responses to adaptively chosen t...
Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, A...
AVSS
2009
IEEE
13 years 6 months ago
Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning
This paper presents a novel approach to vehicle detection in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to ...
Birgi Tamersoy, Jake K. Aggarwal
SIGIR
2012
ACM
11 years 8 months ago
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
Hyun Joon Jung, Matthew Lease
AGENTS
2000
Springer
13 years 9 months ago
From one virtual actor to virtual crowds: requirements and constraints
A crowd is not only a group of many individuals. Crowd modelling involves problems that arise only when we focus on crowds. For instance, avoiding collision problems related to a ...
Soraia Raupp Musse, Daniel Thalmann