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NIPS
2007
13 years 8 months ago
Collapsed Variational Inference for HDP
A wide variety of Dirichlet-multinomial ‘topic’ models have found interesting applications in recent years. While Gibbs sampling remains an important method of inference in su...
Yee Whye Teh, Kenichi Kurihara, Max Welling
GIS
2008
ACM
14 years 8 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
BMVC
2010
13 years 5 months ago
The Fastest Pedestrian Detector in the West
We demonstrate a multiscale pedestrian detector operating in near real time (5 fps on 640x480 images) with state-of-the-art detection performance. The computational bottleneck of ...
Piotr Dollár, Serge Belongie, Pietro Perona
SOUPS
2005
ACM
14 years 29 days ago
Developing privacy guidelines for social location disclosure applications and services
In this article, we describe the design process of Reno, a location-enhanced, mobile coordination tool and person finder. The design process included three field experiments: a ...
Giovanni Iachello, Ian E. Smith, Sunny Consolvo, M...
CCE
2006
13 years 7 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar