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BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
KDD
1994
ACM
125views Data Mining» more  KDD 1994»
13 years 12 months ago
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth
This paper discusses the problem of knowledge discovery in image databases with particular focus on the issues which arise when absolute ground truth is not available. It is often...
Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, ...
PR
2008
228views more  PR 2008»
13 years 7 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu
ECCV
2010
Springer
13 years 11 months ago
Exploiting Repetitive Object Patterns for Model Compression and Completion
Many man-made and natural structures consist of similar elements arranged in regular patterns. In this paper we present an unsupervised approach for discovering and reasoning on re...
CVPR
2009
IEEE
15 years 2 months ago
Holistic Context Modeling using Semantic Co-occurrences
We present a simple framework to model contextual relationships between visual concepts. The new framework combines ideas from previous object-centric methods (which model conte...
Nikhil Rasiwasia (University Of California, San Di...