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162
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CVPR
2010
IEEE
16 years 9 days ago
On-line Semi-supervised Multiple-Instance Boosting
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
Bernhard Zeisl, Christian Leistner, Amir Saffari, ...
111
Voted
ICMCS
2007
IEEE
107views Multimedia» more  ICMCS 2007»
15 years 11 months ago
Power Efficient Motion Estimation using Multiple Imprecise Metric Computations
In this paper, we propose power efficient motion estimation (ME) using multiple imprecise sum absolute difference (SAD) metric computations. We extend recent work in [18] by prov...
In Suk Chong, Antonio Ortega
IPPS
2007
IEEE
15 years 11 months ago
Stochastic Approach to Scheduling Multiple Divisible Tasks on a Heterogeneous Distributed Computing System
Heterogeneity has been considered in scheduling, but without taking into account the temporal variation of completion times of the sub-tasks for a divisible, independent task. In ...
Ankur Kamthe, Soo-Young Lee
GECCO
2004
Springer
15 years 10 months ago
Designing Multiplicative General Parameter Filters Using Adaptive Genetic Algorithms
Multiplicative general parameter (MGP) approach to finite impulse response (FIR) filtering introduces a novel way to realize cost effective adaptive filters in compact very large s...
Jarno Martikainen, Seppo J. Ovaska
166
Voted
ECCV
2006
Springer
15 years 6 months ago
Robust Head Tracking with Particles Based on Multiple Cues Fusion
This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multi-view face detection techniques and multiple cues fus...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao