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115
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ICIP
2009
IEEE
14 years 10 months ago
Selecting representative and distinctive descriptors for efficient landmark recognition
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
Sheng Gao, Joo-Hwee Lim
CASON
2010
IEEE
14 years 4 months ago
Social Network Reduction Based on Stability
—The analysis of social networks is concentrated especially on uncovering hidden relations and properties of network members (vertices). Most of the current approaches are focuse...
Milos Kudelka, Zdenek Horak, Václav Sn&aacu...
137
Voted
NAR
2011
198views Computer Vision» more  NAR 2011»
14 years 3 months ago
PhylomeDB v3.0: an expanding repository of genome-wide collections of trees, alignments and phylogeny-based orthology and paralo
The growing availability of complete genomic sequences from diverse species has brought about the need to scale up phylogenomic analyses, including the reconstruction of large col...
Jaime Huerta-Cepas, Salvador Capella-Gutiér...
228
Voted

Lab
1627views
17 years 1 months ago
CVIP Lab
The Computer Vision and Image Processing Laboratory (CVIP Lab) was established in 1994 at the University of Louisville and is committed to excellence in research, teaching and trai...
249
Voted

Book
5396views
16 years 11 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li