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PRL
2008
135views more  PRL 2008»
13 years 4 months ago
A hierarchical clustering algorithm based on the Hungarian method
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
Jacob Goldberger, Tamir Tassa
SAC
2006
ACM
13 years 10 months ago
Light stemming approaches for the French, Portuguese, German and Hungarian languages
This paper describes and evaluates various general stemming approaches for the French, Portuguese (Brazilian), German and Hungarian languages. Based on the CLEF test-collections, ...
Jacques Savoy
GBRPR
2009
Springer
13 years 11 months ago
Graph Matching Based on Node Signatures
We present an algorithm for graph matching in a pattern recognition context. This algorithm deals with weighted graphs, based on new structural and topological node signatures. Usi...
Salim Jouili, Salvatore Tabbone
ECCV
2008
Springer
13 years 6 months ago
Robust Object Tracking by Hierarchical Association of Detection Responses
Abstract. We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low lev...
Chang Huang, Bo Wu, Ramakant Nevatia
CSIE
2009
IEEE
13 years 11 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck