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» On Feature Extraction via Kernels
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COLING
2010
13 years 5 months ago
Entity-Focused Sentence Simplification for Relation Extraction
Relations between entities in text have been widely researched in the natural language processing and informationextraction communities. The region connecting a pair of entities (...
Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...
BMCBI
2008
106views more  BMCBI 2008»
13 years 10 months ago
A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selec
Background: Cell viability is one of the basic properties indicating the physiological state of the cell, thus, it has long been one of the major considerations in biotechnologica...
Ning Wei, Erwin Flaschel, Karl Friehs, Tim W. Natt...
CVPR
2004
IEEE
14 years 12 months ago
Shaping Receptive Fields for Affine Invariance
The Gaussian kernel has played a central role in multi-scale methods for feature extraction and matching. In this paper, a method for shaping the filter using the local image stru...
S. Ravela
ICIP
2009
IEEE
13 years 7 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu
ICIP
2007
IEEE
14 years 4 months ago
Modeling Gabor Coefficients via Generalized Gaussian Distributions for Face Recognition
Gabor filters are biologically motivated convolution kernels that have been widely used in the field of computer vision and, specially, in face recognition during the last decad...
Daniel González-Jiménez, Fernando P&...