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NIPS
2004
14 years 9 days ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
ESANN
2000
14 years 8 days ago
A neural network approach to adaptive pattern analysis - the deformable feature map
Abstract. In this paper, we presen t an algorithm that provides adaptive plasticity in function approximation problems: the deformable (feature) map (DM) algorithm. The DM approach...
Axel Wismüller, Frank Vietze, Dominik R. Ders...
CG
2006
Springer
13 years 11 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...
PAMI
2006
127views more  PAMI 2006»
13 years 11 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
INFOCOM
1999
IEEE
14 years 3 months ago
Globally Progressive Interactive Web Delivery
- This paper suggests that since web browsing is an interactive process and downloading a web page can take several seconds to several minutes over slow links, the information pres...
Jeffrey M. Gilbert, Robert W. Brodersen