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» Relevance Ranking Using Kernels
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151
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ECCV
2008
Springer
16 years 4 months ago
Quick Shift and Kernel Methods for Mode Seeking
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N2 ), with a small constant, if the underlying distance is Euclidean. This...
Andrea Vedaldi, Stefano Soatto
87
Voted
CIKM
2007
Springer
15 years 8 months ago
Semiautomatic evaluation of retrieval systems using document similarities
Taking advantage of the well-known cluster hypothesis that “closely associated documents tend to be relevant to the same request”, we can use inter-document similarity to prov...
Ben Carterette, James Allan
124
Voted
TREC
2007
15 years 3 months ago
Opinion Retrieval Experiments Using Generative Models: Experiments for the TREC 2007 Blog Track
Ranking blog posts that express opinions regarding a given topic should serve a critical function in helping users. We explored a couple of methods for opinion retrieval in the fr...
Yuki Arai, Koji Eguchi
83
Voted
DAGSTUHL
2006
15 years 4 months ago
Reference Point Approaches and Objective Ranking
The paper presents a reflection on some of the basic assumptions and philosophy of reference point approaches, stressing their unique concentration on the sovereignty of the subje...
Andrzej P. Wierzbicki
146
Voted
CVPR
2008
IEEE
16 years 4 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....