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» Quantization of Sparse Representations
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ICPR
2008
IEEE
14 years 2 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
14 years 1 months ago
Combining PCA and LFA for Surface Reconstruction from a Sparse Set of Control Points
This paper presents a novel method for 3D surface reconstruction based on a sparse set of 3D control points. For object classes such as human heads, prior information about the cl...
Reinhard Knothe, Sami Romdhani, Thomas Vetter
SMI
2006
IEEE
152views Image Analysis» more  SMI 2006»
14 years 1 months ago
A Laplacian Based Approach for Free-Form Deformation of Sparse Low-degree IMplicit Surfaces
Sparse Low-degree IMplicit (SLIM) surface [11] is a recently developed non-conforming surface representation. In this paper, a method for free-form deformation of SLIM surfaces is...
Yutaka Ohtake, Takashi Kanai, Kiwamu Kase
ICANN
2005
Springer
14 years 1 months ago
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
Stephan Kirstein, Heiko Wersing, Edgar Körner
ICPR
2006
IEEE
14 years 9 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden