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ICIP
2000
IEEE
16 years 6 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 5 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 8 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 5 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 5 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