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ICIP
2000
IEEE
16 years 8 months ago
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
Stephanus Suryadarma Tandjung, Teddy Surya Gunawan...
ICML
2007
IEEE
16 years 7 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li
HT
1997
ACM
15 years 10 months ago
Improving the Usability of Hypertext Courseware through Adaptive Linking
Hypertext is being used more and more for on-line course texts. But the navigational freedom offered by a rich link structure is a burdon for students who need guidance throughout...
Licia Calvi, Paul De Bra
ESANN
2007
15 years 8 months ago
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
In this paper, an original method named GNG-T, extended from GNG-U algorithm by [1] is presented. The method performs continuously vector quantization over a distribution that chan...
Georges Adrian Drumea, Hervé Frezza-Buet
VCIP
2001
113views Communications» more  VCIP 2001»
15 years 8 months ago
Novel sequential error concealment techniques using orientation adaptive interpolation
This paper introduces a new framework for error concealment in block-based image coding systems: sequential recovery. Unlike previous approaches that simultaneously recover the pix...
Xin Li, Michael T. Orchard