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» Semantic grouping of visual features
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DAGM
2010
Springer
13 years 10 months ago
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
MM
2006
ACM
142views Multimedia» more  MM 2006»
14 years 2 months ago
Large-scale video retrieval via semantic classification
ons for this project. Most recent ones are listed at the end of this abstract. In the future, feature selection will be integrated in the multi-class EM algorithm to improve the pe...
Hangzai Luo, Jianping Fan
CVPR
2012
IEEE
11 years 11 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
PAMI
2007
137views more  PAMI 2007»
13 years 8 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic
CGF
2008
137views more  CGF 2008»
13 years 9 months ago
Interaction-Dependent Semantics for Illustrative Volume Rendering
In traditional illustration the choice of appropriate styles and rendering techniques is guided by the intention of the artist. For illustrative volume visualizations it is diffic...
Peter Rautek, Stefan Bruckner, M. Eduard Gröl...