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» Capturing Image Structure with Probabilistic Index Maps
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SPIESR
2001
174views Database» more  SPIESR 2001»
13 years 9 months ago
Mapping low-level image features to semantic concepts
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
Daniela Stan, Ishwar K. Sethi
MM
2005
ACM
219views Multimedia» more  MM 2005»
14 years 1 months ago
Pervasive views: area exploration and guidance using extended image media
This work achieves full registration of scenes in a large area and creates visual indexes for visualization in a digital city. We explore effective mapping, indexing, and display ...
Jiang Yu Zheng, Xiaolong Wang
ISBI
2007
IEEE
14 years 1 months ago
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-koo ...
ICPR
2008
IEEE
14 years 8 months ago
Locally invariant texture analysis from the topographic map
In this paper, we present a set of texture features that are locally invariant to similarity or affinity. The proposed indexing scheme relies on the topographic map, a shape-based...
Gui-Song Xia, Julie Delon, Yann Gousseau
CIKM
2008
Springer
13 years 9 months ago
Mapping enterprise entities to text segments
Today, valuable business information is increasingly stored as unstructured data (documents, emails, etc.). For example, documents exchanged between business partners capture info...
Falk Brauer, Alexander Löser, Hong-Hai Do