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» Intrinsic Geometries in Learning
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ICCV
2007
IEEE
14 years 2 months ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino
ISMAR
2007
IEEE
14 years 1 months ago
A Method for Predicting Marker Tracking Error
Many Augmented Reality (AR) applications use marker-based vision tracking systems to recover camera pose by detecting one or more planar landmarks. However, most of these systems ...
Russell M. Freeman, Simon J. Juliet, Anthony Steed
FOCS
2006
IEEE
14 years 1 months ago
Algorithms on negatively curved spaces
d abstract] Robert Krauthgamer ∗ IBM Almaden James R. Lee † Institute for Advanced Study We initiate the study of approximate algorithms on negatively curved spaces. These spa...
Robert Krauthgamer, James R. Lee
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Emotion Recognition from Noisy Speech
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
Mingyu You, Chun Chen, Jiajun Bu, Jia Liu, Jianhua...
SMI
2006
IEEE
138views Image Analysis» more  SMI 2006»
14 years 1 months ago
Curves-on-Surface: A General Shape Comparison Framework
We develop a new surface matching framework to handle surface comparisons based on a novel mathematical analysis of curves on surfaces, and propose a unique signature for any clos...
Xin Li, Ying He 0001, Xianfeng Gu, Hong Qin