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PKDD
2010
Springer
194views Data Mining» more  PKDD 2010»
13 years 2 months ago
Weighted Symbols-Based Edit Distance for String-Structured Image Classification
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...
Cécile Barat, Christophe Ducottet, É...
ICRA
2010
IEEE
186views Robotics» more  ICRA 2010»
13 years 2 months ago
Multi-class batch-mode active learning for image classification
Accurate image classification is crucial in many robotics and surveillance applications
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
ICPR
2010
IEEE
13 years 2 months ago
Multiple Kernel Learning with High Order Kernels
Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
Shuhui Wang, Shuqiang Jiang, Qingming Huang, Qi Ti...

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Ben BenfoldStudent, PhD
University of Oxford
Ben Benfold
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
175views more  TIP 2008»
13 years 4 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
PRL
2008
152views more  PRL 2008»
13 years 4 months ago
WND-CHARM: Multi-purpose image classification using compound image transforms
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...
Nikita Orlov, Lior Shamir, Tomasz J. Macura, Josia...
PAMI
2008
270views more  PAMI 2008»
13 years 4 months ago
Randomized Clustering Forests for Image Classification
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...
Frank Moosmann, Eric Nowak, Frédéric...
CORR
2008
Springer
106views Education» more  CORR 2008»
13 years 4 months ago
Human expert fusion for image classification
: 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 ...
Arnaud Martin, Christophe Osswald
ICIP
2007
IEEE
13 years 4 months ago
Information-Based Color Feature Representation for Image Classification
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...
Shi-Lin Wang, Alan Wee-Chung Liew
ECCV
2010
Springer
13 years 4 months ago
Image Classification Using Super-Vector Coding of Local Image Descriptors
Abstract. This paper introduces a new framework for image classification using local visual descriptors. The pipeline first performs a nonlinear feature transformation on descripto...
Xi Zhou, Kai Yu, Tong Zhang, Thomas S. Huang