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» Methods and Metrics for Selective Regression Testing
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ICCV
2007
IEEE
16 years 1 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...

Lecture Notes
742views
16 years 9 months ago
Computer Systems Analysis
Comparing systems using measurement, simulation, and queueing models. Common mistakes and how to avoid them, selection of techniques and metrics, art of data presentation, summariz...
Raj Jain
BMCBI
2004
181views more  BMCBI 2004»
14 years 11 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
VISUALIZATION
2002
IEEE
15 years 4 months ago
Comparative Evaluation of Visualization and Experimental Results Using Image Comparison Metrics
Comparative evaluation of visualization and experiment results is a critical step in computational steering. In this paper, we present a study of image comparison metrics for quan...
Hualin Zhou, Min Chen, Mike F. Webster
WCNC
2008
IEEE
15 years 6 months ago
Estimation of Link Quality and Residual Time in Vehicular Ad Hoc Networks
—High node mobility and transient connectivity in Vehicular Ad Hoc NETworks have introduced numerous challenges in the design of efficient communication protocols for these netwo...
Nikoletta Sofra, Kin K. Leung