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» Evaluating Sampling Based Hotspot Detection
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ARCS
2009
Springer
14 years 2 days ago
Evaluating Sampling Based Hotspot Detection
In sampling based hotspot detection, performance engineers sample the running program periodically and record the Instruction Pointer (IP) addresses at the sampling. Empirically, f...
Qiang Wu, Oskar Mencer
COMAD
2008
13 years 7 months ago
Disk-Based Sampling for Outlier Detection in High Dimensional Data
We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...
Timothy de Vries, Sanjay Chawla, Pei Sun, Gia Vinh...
IWPC
2006
IEEE
13 years 11 months ago
A Metric-Based Heuristic Framework to Detect Object-Oriented Design Flaws
One of the important activities in re-engineering process is detecting design flaws. Such design flaws prevent an efficient maintenance, and further development of a system. Th...
Mazeiar Salehie, Shimin Li, Ladan Tahvildari
CVPR
2011
IEEE
12 years 9 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
IJCNN
2008
IEEE
13 years 12 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...