Sciweavers

581 search results - page 26 / 117
» EM in High Dimensional Spaces
Sort
View
CAIP
1997
Springer
125views Image Analysis» more  CAIP 1997»
15 years 2 months ago
An Algorithm for Intrinsic Dimensionality Estimation
Abstract. In this paper a new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is...
Jörg Bruske, Gerald Sommer
IWEC
2010
15 years 4 days 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
ALENEX
2001
105views Algorithms» more  ALENEX 2001»
15 years 2 days ago
A Probabilistic Spell for the Curse of Dimensionality
Range searches in metric spaces can be very di cult if the space is \high dimensional", i.e. when the histogram of distances has a large mean and a small variance. The so-cal...
Edgar Chávez, Gonzalo Navarro
SCALESPACE
1997
Springer
15 years 2 months ago
From High Energy Physics to Low Level Vision
A geometric framework for image scale space, enhancement, and segmentation is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a 2D surf...
Ron Kimmel, Nir A. Sochen, Ravi Malladi
ML
2006
ACM
121views Machine Learning» more  ML 2006»
14 years 10 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung