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» Robust Algorithms for Object Localization
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WACV
2008
IEEE
14 years 3 months ago
Object Categorization Based on Kernel Principal Component Analysis of Visual Words
In recent years, many researchers are studying object categorization problem. It is reported that bag of keypoints approach which is based on local features without topological in...
Kazuhiro Hotta
NN
2002
Springer
114views Neural Networks» more  NN 2002»
13 years 8 months ago
Learning the parts of objects by auto-association
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
Xijin Ge, Shuichi Iwata
IJIT
2004
13 years 10 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...
SGP
2004
13 years 11 months ago
Spectral Surface Reconstruction From Noisy Point Clouds
: We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data. It forms a Delaunay tetrahedralization, then uses a variant of spectral gr...
Ravi Krishna Kolluri, Jonathan Richard Shewchuk, J...
CGF
2005
186views more  CGF 2005»
13 years 8 months ago
Interpolatory Refinement for Real-Time Processing of Point-Based Geometry
The point set is a flexible surface representation suitable for both geometry processing and real-time rendering. In most applications, the control of the point cloud density is c...
Gaël Guennebaud, Loïc Barthe, Mathias Pa...