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» Image Retrieval Using a Hierarchy of Clusters
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SIGIR
2010
ACM
13 years 8 months ago
Analysis of structural relationships for hierarchical cluster labeling
Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. Intuitively, the hierarchical structure should influence the labeling accuracy. H...
Markus Muhr, Roman Kern, Michael Granitzer
AINA
2007
IEEE
14 years 2 months ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
14 years 9 months ago
Quick-VDR: Interactive View-Dependent Rendering of Massive Models
We present a novel approach for interactive view-dependent rendering of massive models. Our algorithm combines view-dependent simplification, occlusion culling, and out-of-core re...
Sung-Eui Yoon, Brian Salomon, Russell Gayle, Dines...
VISUALIZATION
2003
IEEE
14 years 29 days ago
Interactive View-Dependent Rendering with Conservative Occlusion Culling in Complex Environments
This paper presents a novel algorithm combining view-dependent rendering and conservative occlusion culling for interactive display of complex environments. A vertex hierarchy of ...
Sung-Eui Yoon, Brian Salomon, Dinesh Manocha
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu