51 search results - page 2 / 11 » K-medoid-style Clustering Algorithms for Supervised Summary ... |
MM
2009
ACM
13 years 11 months ago
2009
ACM
We present a novel data-driven algorithm that leverages online image repositories such as Flickr for automatically generating tourist maps. Our hypothesis is that, given a large e...
DATAMINE
2006
13 years 4 months ago
2006
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
ECIR
2007
Springer
13 years 6 months ago
2007
Springer
We propose an innovative, general purpose, method to the selection and hierarchical representation of key frames of a video sequence for video summarization. It is able to create a...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...