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CISST
2004
164views Hardware» more  CISST 2004»
13 years 9 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
AC
2010
Springer
13 years 7 months ago
Features for Content-Based Audio Retrieval
Today, a large number of audio features exists in audio retrieval for different purposes, such as automatic speech recognition, music information retrieval, audio segmentation, an...
Dalibor Mitrovic, Matthias Zeppelzauer, Christian ...
CLEF
2006
Springer
13 years 11 months ago
Link-Based vs. Content-Based Retrieval for Question Answering Using Wikipedia
We describe our participation in the WiQA 2006 pilot on question answering using Wikipedia, with a focus on comparing linkbased vs content-based retrieval. Our system currently wor...
Sisay Fissaha Adafre, Valentin Jijkoun, Maarten de...
AIRS
2008
Springer
13 years 9 months ago
Comparing Dissimilarity Measures for Content-Based Image Retrieval
Abstract. Dissimilarity measurement plays a crucial role in contentbased image retrieval, where data objects and queries are represented as vectors in high-dimensional content feat...
Haiming Liu 0002, Dawei Song, Stefan M. Rüger...
ICPR
2004
IEEE
14 years 8 months ago
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...
Markus Koskela, Jorma Laaksonen, Erkki Oja