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SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
15 years 8 months ago
On Point Sampling Versus Space Sampling for Dimensionality Reduction
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
Charu C. Aggarwal
WSCG
2004
143views more  WSCG 2004»
15 years 8 months ago
View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces
In this paper we present a new technique for rendering very large datasets representing point-sampled surfaces. Rendering efficiency is considerably improved by using stochastic s...
Sushil Bhakar, Liang Luo, Sudhir P. Mudur
IJRR
2002
159views more  IJRR 2002»
15 years 6 months ago
Mapping Partially Observable Features from Multiple Uncertain Vantage Points
This paper presents a technique for mapping partially observable features from multiple uncertain vantage points. The problem of concurrent mapping and localization (CML) is state...
John J. Leonard, Richard J. Rikoski, Paul M. Newma...
TIP
2008
144views more  TIP 2008»
15 years 6 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
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ECCV
2002
Springer
16 years 8 months ago
Linear Pose Estimation from Points or Lines
Estimation of camera pose from an image of n points or lines with known correspondence is a thoroughly studied problem in computer vision. Most solutions are iterative and depend o...
Adnan Ansar, Konstantinos Daniilidis