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» Conditional Functional Dependencies for Data Cleaning
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ICCV
2011
IEEE
13 years 9 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
DICTA
2008
14 years 11 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
ICPR
2004
IEEE
15 years 10 months ago
Surface Sculpting with Stochastic Deformable 3D Surfaces
This paper introduces a new stochastic surface model for deformable 3D surfaces and demonstrates its utility for the purpose of 3D sculpting. This is the problem of simple-touse a...
Andrew R. Willis, Jasper Speicher, David B. Cooper
ICML
2008
IEEE
15 years 10 months ago
Robust matching and recognition using context-dependent kernels
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...
Hichem Sahbi, Jean-Yves Audibert, Jaonary Rabariso...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 3 months ago
Anti-monotonic Overlap-Graph Support Measures
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds the frequency of a subpattern. The efficiency and correctness of most graph pat...
Toon Calders, Jan Ramon, Dries Van Dyck