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» New Algorithms for Generalized Network Flows
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DAGM
2009
Springer
15 years 1 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann
ASC
2000
14 years 11 months ago
A New Object-Oriented Stochastic Modeling Language
A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
Daniel Pless, George F. Luger, Carl R. Stern
ICCV
1998
IEEE
15 years 2 months ago
A Maximum-Flow Formulation of the N-Camera Stereo Correspondence Problem
This paper describes a new algorithm for solving the N-camera stereo correspondence problem by transforming it into a maximum- ow problem. Once solved, the minimum-cut associated ...
Sébastien Roy, Ingemar J. Cox
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 1 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
PODS
2007
ACM
225views Database» more  PODS 2007»
15 years 10 months ago
Sketching unaggregated data streams for subpopulation-size queries
IP packet streams consist of multiple interleaving IP flows. Statistical summaries of these streams, collected for different measurement periods, are used for characterization of ...
Edith Cohen, Nick G. Duffield, Haim Kaplan, Carste...