Concept
Weighted geometric mean
Related publications (6)
Rating aggregation in collaborative filtering systems
Boi Faltings, Radu Jurca, Florent Frédéric Garcin, Nadine Joswig
Recommender systems based on user feedback rank items by aggregating users' ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weighted arithmetic mean. However, the mean is quite sensitive to outliers and bias ...
ACM Press2009Monte Carlo Video Text Segmentation
Jean-Philippe Thiran, Jean-Marc Odobez, Datong Chen
This paper presents a probabilistic algorithm for segmenting and recognizing text embedded in video sequences based on adaptive thresholding using a Bayes filtering method. The algorithm approximates the posterior distribution of segmentation thresholds of ...
2005Video Text Recognition using Sequential Monte Carlo and Error Voting Methods
This paper addresses the issue of segmentation and recognition of text embedded in video sequences from their associated text image sequence extracted by a text detection module. To this end, we propose a probabilistic algorithm based on Bayesian adaptive ...
2005Monte Carlo Video Text Segmentation
This paper presents a probabilistic algorithm for segmenting text embedded in video based on Monte Carlo sampling. The algorithm approximates the posterior of segmentation thresholds of video text by a set of weighted samples, referred to as particles. The ...
IDIAP2003Video Text Segmentation Using Particle Filters
This paper presents a probabilistic algorithm for segmenting and recognizing text embedded in video sequences based on adaptive thresholding using a Bayes filtering method. The algorithm approximates the posterior distribution of segmentation thresholds of ...
IDIAP2003Sequential Monte Carlo Video Text Segmentation
This paper presents a probabilistic algorithm for segmenting text embedded in video based on Monte Carlo sampling. The algorithm approximates the posterior of segmentation thresholds of video text by a set of weighted samples, referred to as particles. The ...
2003