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» Objective Functions for Feature Discrimination
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ECCV
2008
Springer
16 years 2 months ago
Feature Correspondence Via Graph Matching: Models and Global Optimization
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
Lorenzo Torresani, Vladimir Kolmogorov, Carsten Ro...
71
Voted
MVA
2007
159views Computer Vision» more  MVA 2007»
15 years 1 months ago
Action Recognition of Insects Using Spectral Clustering
We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of ...
Maryam Moslemi Naeini, Greg Dutton, Kristina Rothl...
125
Voted
WWW
2011
ACM
14 years 7 months ago
A self-training approach for resolving object coreference on the semantic web
An object on the Semantic Web is likely to be denoted with multiple URIs by different parties. Object coreference resolution is to identify “equivalent” URIs that denote the ...
Wei Hu, Jianfeng Chen, Yuzhong Qu
TNN
2008
128views more  TNN 2008»
15 years 12 days ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
VISUALIZATION
2003
IEEE
15 years 5 months ago
Feature Space Analysis of Unstructured Meshes
Unstructured meshes are often used in simulations and imaging applications. They provide advanced flexibility in modeling abilities but are more difficult to manipulate and anal...
Ariel Shamir