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» A General Method for Feature Matching and Model Extraction
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114
Voted
SMI
2005
IEEE
154views Image Analysis» more  SMI 2005»
15 years 9 months ago
Feature Sensitive Mesh Segmentation with Mean Shift
Feature sensitive mesh segmentation is important for many computer graphics and geometric modeling applications. In this paper, we develop a mesh segmentation method which is capa...
Hitoshi Yamauchi, Seungyong Lee, Yunjin Lee, Yutak...
167
Voted
COLING
2010
14 years 10 months ago
Automatic Extraction of Cue Phrases for Cross-Corpus Dialogue Act Classification
In this paper, we present an investigation into the use of cue phrases as a basis for dialogue act classification. We define what we mean by cue phrases, and describe how we extra...
Nick Webb, Michael Ferguson
129
Voted
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 1 months ago
Unsupervised discovery of repetitive objects
We present a novel approach for unsupervised discovery of repetitive objects from 3D point clouds. Our method assumes that objects are geometrically consistent, and uses multiple o...
Jiwon Shin, Rudolph Triebel, Roland Siegwart
166
Voted
CVPR
2011
IEEE
14 years 12 months ago
Coupled Information-Theoretic Encoding for Face Photo-Sketch Recognition
Automatic face photo-sketch recognition has important applications to law enforcement. Recent research has focused on transforming photos and sketches into the same modality for m...
Wei Zhang, Xiaogang Wang, Xiaoou Tang
145
Voted
JMLR
2008
131views more  JMLR 2008»
15 years 3 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...