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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
BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
13 years 7 months ago
Parameter-free testing of the shape of a probability distribution
The Kolmogorov–Smirnov test determines the consistency of empirical data with a particular probability distribution. Often, parameters in the distribution are unknown, and have ...
M. Broom, P. Nouvellet, J. P. Bacon, D. Waxman
METRICS
2003
IEEE
14 years 20 days ago
An Analogy-Based Approach for Predicting Design Stability of Java Classes
Predicting stability in object-oriented (OO) software, i.e., the ease with which a software item evolves while preserving its design, is a key feature for software maintenance. In...
David Grosser, Houari A. Sahraoui, Petko Valtchev
ICCV
2005
IEEE
14 years 9 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
CVPR
2009
IEEE
15 years 2 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese