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» Dimensionality Reduction for Classification
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ICIP
2005
IEEE
16 years 4 months ago
Semantic discriminant mapping for classification and browsing of remote sensing textures and objects
We present a new approach based on Discriminant Analysis to map a high dimensional image feature space onto
Julien Fauqueur, Nick G. Kingsbury, Ryan Anderson
164
Voted
CVPR
2001
IEEE
16 years 5 months ago
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
Bernd Heisele, Thomas Serre, Sayan Mukherjee, Toma...
ICPR
2006
IEEE
16 years 4 months ago
Car/Non-Car Classification in an Informative Sample Subspace
In this paper, we present a method for data classification with application to car/non-car objects. We first developed a sample based car/non-car maximal mutual information low di...
Guoping Qiu, Jianzhong Fang
MICCAI
2005
Springer
16 years 4 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
ICIP
2009
IEEE
15 years 27 days ago
Efficient reduction of support vectors in kernel-based methods
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...
Takumi Kobayashi, Nobuyuki Otsu