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COMPGEOM
2005
ACM
15 years 8 months ago
Fast construction of nets in low dimensional metrics, and their applications
We present a near linear time algorithm for constructing hierarchical nets in finite metric spaces with constant doubling dimension. This data-structure is then applied to obtain...
Sariel Har-Peled, Manor Mendel
CVPR
2008
IEEE
16 years 8 months ago
Clustering and dimensionality reduction on Riemannian manifolds
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
Alvina Goh, René Vidal
CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
15 years 10 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa
TKDE
2008
133views more  TKDE 2008»
15 years 6 months ago
Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
Alok Sharma, Kuldip K. Paliwal
IWEC
2010
15 years 7 months ago
Emotions: The Voice of the Unconscious
In the paper the idea is presented that emotions are the result of a high dimensional optimization process happening in the unconscious mapped onto the low dimensional conscious. I...
Matthias Rauterberg