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ICANN
2010
Springer
14 years 10 months ago
Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques
Abstract. This paper presents an experimental "morphological analysis" retrieval system for mammograms, using Relevance-Feedback techniques. The features adopted are firs...
Stylianos D. Tzikopoulos, Harris V. Georgiou, Mich...
90
Voted
CIKM
2007
Springer
15 years 6 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
107
Voted
ICPR
2010
IEEE
14 years 10 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
CLEF
2003
Springer
15 years 5 months ago
Comparing Weighting Models for Monolingual Information Retrieval
Motivated by the hypothesis that the retrieval performance of a weighting model is independent of the language in which queries and collection are expressed, we compared the retrie...
Gianni Amati, Claudio Carpineto, Giovanni Romano
126
Voted
KES
2005
Springer
15 years 6 months ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh