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» On the Learnability of Vector Spaces
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3DIM
2005
IEEE
14 years 2 months ago
Gaussian Scale-Space Dense Disparity Estimation with Anisotropic Disparity-Field Diffusion
We present a new reliable dense disparity estimation algorithm which employs Gaussian scale-space with anisotropic disparity-field diffusion. This algorithm estimates edge-preserv...
Jangheon Kim, Thomas Sikora
ICML
2005
IEEE
14 years 9 months ago
An efficient method for simplifying support vector machines
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
DucDung Nguyen, Tu Bao Ho
CIE
2010
Springer
14 years 1 months ago
On the Completeness of Quantum Computation Models
The notion of computability is stable (i.e. independent of the choice of an indexing) over infinite-dimensional vector spaces provided they have a finite “tensorial dimension...
Pablo Arrighi, Gilles Dowek
CVPR
2012
IEEE
11 years 11 months ago
Meta-class features for large-scale object categorization on a budget
In this paper we introduce a novel image descriptor enabling accurate object categorization even with linear models. Akin to the popular attribute descriptors, our feature vector ...
Alessandro Bergamo, Lorenzo Torresani
AMC
2011
13 years 3 months ago
Some inequalities in inner product spaces related to the generalized triangle inequality
Abstract. In this paper we obtain some inequalities related to the generalized triangle and quadratic triangle inequalities for vectors in inner product spaces. Some results that e...
S. S. Dragomir, Y. J. Cho, S. S. Kim