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» Using Linguistic Models for Image Retrieval
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ICPR
2010
IEEE
13 years 12 months ago
Efficient Semantic Indexing for Image Retrieval
Semantic analysis of a document collection can be viewed as an unsupervised clustering of the constituent words and documents around hidden or latent concepts. This has shown to i...
Chandrika Pulla, Suman Karthik, C. V. Jawahar
EDBT
1998
ACM
114views Database» more  EDBT 1998»
13 years 12 months ago
HySpirit - A Probabilistic Inference Engine for Hypermedia Retrieval in Large Databases
Abstract. HySpirit is a retrieval engine for hypermedia retrieval integrating concepts from information retrieval (IR) and deductive databases. The logical view on IR models retrie...
Norbert Fuhr, Thomas Rölleke
CSMR
2008
IEEE
14 years 2 months ago
Towards Recovering Architectural Concepts Using Latent Semantic Indexing
Software engineers think about an existing software system in terms of high-level models. The high-level models are translated to source code and the concepts represented in these...
Pieter van der Spek, Steven Klusener, Piërre ...
CLEF
2010
Springer
13 years 8 months ago
UNT at ImageCLEF 2010: CLIR for Wikipedia Images
This paper presents the results of the team of the University of North Texas in the Wikipedia image retrieval track of Image-CLEF-2010. Our approach is based on performing translat...
Miguel E. Ruiz, Jiangping Chen, Karthikeyan Pasupa...
ICIP
2002
IEEE
14 years 9 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...