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ISCI
2007
170views more  ISCI 2007»
13 years 9 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke
IJCV
2000
164views more  IJCV 2000»
13 years 9 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
CORR
2007
Springer
135views Education» more  CORR 2007»
13 years 9 months ago
Detailed Network Measurements Using Sparse Graph Counters: The Theory
— Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that m...
Yi Lu, Andrea Montanari, Balaji Prabhakar
PAMI
2011
13 years 4 months ago
Rigid and Articulated Point Registration with Expectation Conditional Maximization
—This paper addresses the issue of matching rigid and articulated shapes through probabilistic point registration. The problem is recast into a missing data framework where unkno...
Radu Horaud, Florence Forbes, Manuel Yguel, Guilla...
ICASSP
2011
IEEE
13 years 1 months ago
Fast physical object identification based on unclonable features and soft fingerprinting
In this paper we advocate a new technique for the fast identi cation of physical objects based on their physical unclonable features (surface microstructures). The proposed identi...
Taras Holotyak, Sviatoslav Voloshynovskiy, Oleksiy...