PKDD
2010
Springer
13 years 8 months ago
2010
Springer
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
ICRA
2010
IEEE
13 years 8 months ago
2010
IEEE
Accurate image classification is crucial in many robotics and surveillance applications
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
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Ben Benfold is a member the Active Vision Group, part of the broader Robotics Resarch Group at Oxford University's Department of Engineering Science. He is a computer vision resear...
TIP
2008
13 years 10 months ago
2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
PRL
2008
13 years 10 months ago
2008
We describe a multi-purpose image classifier that can be applied to a wide variety of image classification tasks without modifications or fine-tuning, and yet provide classificati...
PAMI
2008
13 years 10 months ago
2008
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
CORR
2008
Springer
13 years 11 months ago
2008
Springer
: In image classification, merging the opinion of several human experts is very important for solving different tasks such as evaluation or training. Indeed, the reality is rarely ...
ICIP
2007
IEEE
13 years 11 months ago
2007
IEEE
1 For the image classification task, the color histogram is widely used as an important color feature indicating the content of the image. However, the high-resolution color histog...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. This paper introduces a new framework for image classification using local visual descriptors. The pipeline first performs a nonlinear feature transformation on descripto...