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146
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ECCV
2002
Springer
16 years 5 months ago
Towards Improved Observation Models for Visual Tracking: Selective Adaptation
Abstract. An important issue in tracking is how to incorporate an appropriate degree of adaptivity into the observation model. Without any adaptivity, tracking fails when object pr...
Andrew Blake, Jaco Vermaak, Michel Gangnet, Patric...
107
Voted
ICCV
2005
IEEE
15 years 9 months ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
126
Voted
EPEW
2006
Springer
15 years 7 months ago
Precise Regression Benchmarking with Random Effects: Improving Mono Benchmark Results
Benchmarking as a method of assessing software performance is known to suffer from random fluctuations that distort the observed performance. In this paper, we focus on the fluctua...
Tomás Kalibera, Petr Tuma
119
Voted
SBACPAD
2006
IEEE
102views Hardware» more  SBACPAD 2006»
15 years 9 months ago
Ultra-Fast CPU Performance Prediction: Extending the Monte Carlo Approach
Performance evaluation of contemporary processors is becoming increasingly difficult due to the lack of proper frameworks. Traditionally, cycle-accurate simulators have been exte...
Ram Srinivasan, Jeanine Cook, Olaf M. Lubeck
141
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JCP
2008
119views more  JCP 2008»
15 years 3 months ago
Performance Comparisons, Design, and Implementation of RC5 Symmetric Encryption Core using Reconfigurable Hardware
With the wireless communications coming to homes and offices, the need to have secure data transmission is of utmost importance. Today, it is important that information is sent con...
Omar S. Elkeelany, Adegoke Olabisi