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134
Voted
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
151
Voted
SIGCOMM
2005
ACM
15 years 8 months ago
Meridian: a lightweight network location service without virtual coordinates
This paper introduces a lightweight, scalable and accurate framework, called Meridian, for performing node selection based on network location. The framework consists of an overla...
Bernard Wong, Aleksandrs Slivkins, Emin Gün S...
115
Voted
CONCUR
1998
Springer
15 years 7 months ago
Axioms for Real-Time Logics
This paper presents a complete axiomatization of two decidable propositional realtime linear temporal logics: Event Clock Logic (EventClockTL) and Metric Interval Temporal Logic w...
Jean-François Raskin, Pierre-Yves Schobbens...
142
Voted
WWW
2010
ACM
15 years 9 months ago
Visualizing differences in web search algorithms using the expected weighted hoeffding distance
We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson
126
Voted
ICCV
2011
IEEE
14 years 2 months ago
In Defense of Soft-assignment Coding
In object recognition, soft-assignment coding enjoys computational efficiency and conceptual simplicity. However, its classification performance is inferior to the newly develop...
Lingqiao Liu, Lei Wang, Xinwang Liu