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» Minimal Kernel Classifiers
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CVPR
2005
IEEE
15 years 11 months ago
Mercer Kernels for Object Recognition with Local Features
A new class of kernels for object recognition based on local image feature representations are introduced in this paper. These kernels satisfy the Mercer condition and incorporate...
Siwei Lyu
81
Voted
ICML
2005
IEEE
15 years 10 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
77
Voted
CVPR
2010
IEEE
15 years 2 months ago
Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
Ran Xu, Baochang Zhang, Qixiang Ye, jian bin Jiao
AVSS
2007
IEEE
15 years 4 months ago
Improved one-class SVM classifier for sounds classification
This paper proposes to apply optimized One-Class Support Vector Machines (1-SVMs) as a discriminative framework in order to address a specific audio classification problem. Firs...
Asma Rabaoui, Manuel Davy, Stéphane Rossign...
88
Voted
ICCV
2001
IEEE
15 years 11 months ago
Classifying and Solving Minimal Structure and Motion Problems with Missing Data
In this paper we investigate the structure and motion problem for calibrated one-dimensional projections of a two-dimensional environment. In a previous paper the structure and mo...
Kalle Åström, Magnus Oskarsson, Niels C...