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BMCBI
2004
181views more  BMCBI 2004»
13 years 7 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
ESEM
2010
ACM
13 years 5 months ago
Introducing the evaluation of complexity in functional size measurement: a UML-based approach
Functional Size Measures are often used for effort estimation. However, these measures do not take into account the amount and complexity of elaboration required, concentrating in...
Luigi Lavazza, Gabriela Robiolo
TSE
2002
96views more  TSE 2002»
13 years 7 months ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian
SAC
2008
ACM
13 years 7 months ago
Workflow management versus case handling: results from a controlled software experiment
Business Process Management (BPM) technology has become an important instrument for improving process performance. When considering its use, however, enterprises typically have to...
Bela Mutschler, Barbara Weber, Manfred Reichert
PAMI
2012
11 years 10 months ago
Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images
—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately i...
Kalin Kolev, Thomas Brox, Daniel Cremers