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» A Novel Framework for Imaging Using Compressed Sensing
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ICCV
2001
IEEE
14 years 10 months ago
A General Imaging Model and a Method for Finding its Parameters
Linear perspective projection has served as the dominant imaging model in computer vision. Recent developments in image sensing make the perspective model highly restrictive. This...
Michael D. Grossberg, Shree K. Nayar
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
14 years 9 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
ICMCS
2006
IEEE
120views Multimedia» more  ICMCS 2006»
14 years 2 months ago
SVM-Based Shot Boundary Detection with a Novel Feature
This paper describes our new algorithm for shot boundary detection and its evaluation. We adopt a 2-stage data fusion approach with SVM technique to decide whether a boundary exis...
Kazunori Matsumoto, Masaki Naito, Keiichiro Hoashi...
ECML
2004
Springer
14 years 2 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
EGH
2010
Springer
13 years 6 months ago
Analytical motion blur rasterization with compression
We present a rasterizer, based on time-dependent edge equations, that computes analytical visibility in order to render accurate motion blur. The theory for doing the computations...
Carl Johan Gribel, Michael C. Doggett, Tomas Akeni...