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ICPR
2002
IEEE
14 years 8 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
ASPLOS
1998
ACM
13 years 12 months ago
Active Disks: Programming Model, Algorithms and Evaluation
Several application and technology trends indicate that it might be both pro table and feasible to move computation closer to the data that it processes. In this paper, we evaluat...
Anurag Acharya, Mustafa Uysal, Joel H. Saltz
EJASP
2010
133views more  EJASP 2010»
13 years 2 months ago
Improving Density Estimation by Incorporating Spatial Information
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
Laura M. Smith, Matthew S. Keegan, Todd Wittman, G...
3DIM
2007
IEEE
14 years 2 months ago
Cached k-d tree search for ICP algorithms
The ICP (Iterative Closest Point) algorithm is the de facto standard for geometric alignment of threedimensional models when an initial relative pose estimate is available. The ba...
Andreas Nüchter, Kai Lingemann, Joachim Hertz...
CVPR
2011
IEEE
13 years 3 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell