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» On the Learnability of Vector Spaces
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CVPR
2008
IEEE
15 years 12 months ago
Scene classification with low-dimensional semantic spaces and weak supervision
A novel approach to scene categorization is proposed. Similar to previous works of [11, 15, 3, 12], we introduce an intermediate space, based on a low dimensional semantic "t...
Nikhil Rasiwasia, Nuno Vasconcelos
ICASSP
2008
IEEE
15 years 4 months ago
Null-Space representation for view-invariant motion trajectory classification-recognition and indexing-retrieval
This paper presents a novel classification/ retrieval system for motion events based on a perfect view invariant representation of motion trajectories and a linear classifier al...
Eser Ustunel, Xu Chen, Dan Schonfeld, Ashfaq A. Kh...
AAECC
2007
Springer
89views Algorithms» more  AAECC 2007»
15 years 4 months ago
Links Between Discriminating and Identifying Codes in the Binary Hamming Space
Let Fn be the binary n-cube, or binary Hamming space of dimension n, endowed with the Hamming distance, and En (respectively, On ) the set of vectors with even (respectively, odd)...
Irène Charon, Gérard D. Cohen, Olivi...
MM
2005
ACM
148views Multimedia» more  MM 2005»
15 years 3 months ago
GPU-assisted decoding of video samples represented in the YCoCg-R color space
Although pixel shaders were designed for the creation of programmable rendering effects, they can also be used as generic processing units for vector data. In this paper, attentio...
Wesley De Neve, Dieter Van Rijsselbergen, Charles ...
ICALP
2003
Springer
15 years 3 months ago
Analysis of a Simple Evolutionary Algorithm for Minimization in Euclidean Spaces
Although evolutionary algorithms (EAs) are widely used in practical optimization, their theoretical analysis is still in its infancy. Up to now results on the (expected) runtime ar...
Jens Jägersküpper