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» Adaptive Learning from Evolving Data Streams
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CVPR
2010
IEEE
15 years 8 months ago
PROST: Parallel Robust Online Simple Tracking
Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
Jakob Santner, Christian Leistner, Amir Saffari, T...
104
Voted
MSWIM
2005
ACM
15 years 6 months ago
Application of synchronous dynamic encryption system in mobile wireless domains
Motivated by the tradeoff between security and efficiency performance parameters that has been imposed on all modern wireless security protocols, we designed a novel security syst...
Hamdy S. Soliman, Mohammed Omari
139
Voted
ECCV
2004
Springer
16 years 2 months ago
Interactive Image Segmentation Using an Adaptive GMMRF Model
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
Andrew Blake, Carsten Rother, M. Brown, Patrick P&...
INTERSPEECH
2010
14 years 7 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
140
Voted
SIAMIS
2010
156views more  SIAMIS 2010»
14 years 7 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...