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DAGM
2004
Springer
13 years 11 months ago
A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms
We present a new measure for evaluation of algorithms for the detection of regions of interest (ROI) in, e.g., attention mechanisms. In contrast to existing measures, the present a...
Martin Clauss, Pierre Bayerl, Heiko Neumann
ISPA
2007
Springer
14 years 17 days ago
Parallelization Strategies for the Points of Interests Algorithm on the Cell Processor
The Cell processor is a typical example of a heterogeneous multiprocessor-on-chip architecture that uses several levels of parallelism to deliver high performance. Closing the gap ...
Tarik Saidani, Lionel Lacassagne, Samir Bouaziz, T...
ICDAR
1995
IEEE
13 years 10 months ago
Ground-truthing and benchmarking document page segmentation
We describe a new approach for evaluating page segmentation algorithms. Unlike techniques that rely on OCR output, our method is region-based: the segmentation output, described a...
Berrin A. Yanikoglu, Luc Vincent
ECCV
2010
Springer
13 years 7 months ago
Object of Interest Detection by Saliency Learning
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
13 years 4 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich