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» Large-Scale Data Analysis Using Heuristic Methods
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135
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IJCV
1998
238views more  IJCV 1998»
15 years 2 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
96
Voted
ICIP
2007
IEEE
16 years 4 months ago
Skeleton-Based Tornado Hook Echo Detection
We propose and evaluate a method to identify tornadoes automatically in Doppler radar imagery by detecting hook echoes, which are important signatures of tornadoes, in Doppler rad...
Hongkai Wang, Robert E. Mercer, John L. Barron, Pa...
119
Voted
ICPR
2000
IEEE
16 years 3 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
113
Voted
WWW
2004
ACM
16 years 3 months ago
Remindin': semantic query routing in peer-to-peer networks based on social metaphors
In peer-to-peer networks, finding the appropriate answer for an information request, such as the answer to a query for RDF(S) data, depends on selecting the right peer in the netw...
Christoph Tempich, Steffen Staab, Adrian Wranik
112
Voted
CPM
2009
Springer
127views Combinatorics» more  CPM 2009»
15 years 9 months ago
Deconstructing Intractability: A Case Study for Interval Constrained Coloring
The NP-hard Interval Constrained Coloring problem appears in the interpretation of experimental data in biochemistry dealing with protein fragments. Given a set of m integer interv...
Christian Komusiewicz, Rolf Niedermeier, Johannes ...