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» Geodesic Methods in Computer Vision and Graphics
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ICCV
2011
IEEE
13 years 10 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
CG
2006
Springer
14 years 10 months ago
Computational methods for understanding 3D shapes
Understanding shapes has been a challenging issue for many years, firstly motivated by computer vision and more recently by many complex applications in diverse fields, such as me...
Marco Attene, Silvia Biasotti, Michela Mortara, Gi...
ACCV
2009
Springer
15 years 4 months ago
Skeleton Graph Matching Based on Critical Points Using Path Similarity
This paper proposes a novel graph matching algorithm based on skeletons and applies it to shape recognition based on object silhouettes. The main idea is to match the critical poin...
Yao Xu, Bo Wang, Wenyu Liu, Xiang Bai
JMLR
2010
186views more  JMLR 2010»
14 years 4 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
SI3D
2010
ACM
15 years 3 months ago
Real-time multi-agent path planning on arbitrary surfaces
Path planning is an active topic in the literature, and efficient navigation over non-planar surfaces is an open research question. In this work we present a novel technique for ...
Rafael P. Torchelsen, Luiz F. Scheidegger, Guilher...