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» Feature Hierarchies for Object Classification
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ICIAR
2004
Springer
15 years 3 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
ICCV
2007
IEEE
15 years 11 months ago
Real-time Accurate Object Detection using Multiple Resolutions
We propose a multi-resolution framework inspired by human visual search for general object detection. Different resolutions are represented using a coarse-to-fine feature hierarch...
Wei Zhang 0002, Gregory J. Zelinsky, Dimitris Sama...
ICPR
2002
IEEE
15 years 10 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
PAMI
2002
112views more  PAMI 2002»
14 years 9 months ago
Recognizing Handwritten Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Guy Mayraz, Geoffrey E. Hinton
ICPR
2000
IEEE
15 years 1 months ago
Profile and Feature Extraction from Chromosomes
The most accurate methods for automatic classification of chromosomes under a light microscope today extract numerical features from band-pattern profiles along their longitudinal...
Gunter Ritter, Gernot Schreib