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ICIP
2007
IEEE
16 years 8 months ago
Analysis of the Decoding-Complexity of Compressed Image-Based Scene Representations
Interactive navigation in image-based scenes requires random access to the compressed reference image data. When using state of the art block-based hybrid video coding techniques,...
Ingo Bauermann, Eckehard G. Steinbach
ICML
2006
IEEE
16 years 7 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
APPROX
2008
Springer
119views Algorithms» more  APPROX 2008»
15 years 9 months ago
The Complexity of Distinguishing Markov Random Fields
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan
FOIKS
2008
Springer
15 years 8 months ago
Lossless Decompositions in Complex-Valued Databases
When decomposing database schemas, it is desirable that a decomposition is lossless and dependency preserving. A well-known and frequently used result for the relational model stat...
Henning Köhler, Sebastian Link
ALDT
2011
Springer
262views Algorithms» more  ALDT 2011»
14 years 6 months ago
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...