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ICCV
2005
IEEE
16 years 11 days ago
Patch Based Blind Image Super Resolution
In this paper, a novel method for learning based image super resolution (SR) is presented. The basic idea is to bridge the gap between a set of low resolution (LR) images and the ...
Qiang Wang, Xiaoou Tang, Harry Shum
TSDM
2000
151views Data Mining» more  TSDM 2000»
15 years 10 months ago
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Richard J. Povinelli
ICIAP
1997
ACM
15 years 10 months ago
Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data
This paper presents methods for detection and reconstruction of `missing' data in image sequences which can be modelled using 3-dimensional autoregressive (3DAR) models. The ...
Anil C. Kokaram, Simon J. Godsill
NPL
2008
63views more  NPL 2008»
15 years 6 months ago
New Routes from Minimal Approximation Error to Principal Components
We introduce two new methods of deriving the classical PCA in the framework of minimizing the mean square error upon performing a lower-dimensional approximation of the data. These...
Abhilash Alexander Miranda, Yann-Aël Le Borgn...
PAMI
2012
13 years 9 months ago
Nonlinear Shape Registration without Correspondences
—In this paper, we propose a novel framework to estimate the parameters of a diffeomorphism that aligns a known shape and its distorted observation. Classical registration method...
Csaba Domokos, Jozsef Nemeth, Zoltan Kato