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» Aggregation functions: Means
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INFOCOM
2002
IEEE
14 years 16 days ago
Individual QoS versus Aggregate QoS: A Loss Performance Study
Abstract— This papers explores, primarily by means of analysis, the differences that can exist between individual and aggregate loss guarantees in an environment where guarantees...
Ying Xu, Roch Guérin
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 17 days 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
PODS
2008
ACM
109views Database» more  PODS 2008»
14 years 7 months ago
Time-decaying aggregates in out-of-order streams
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
Graham Cormode, Flip Korn, Srikanta Tirthapura
SODA
2003
ACM
119views Algorithms» more  SODA 2003»
13 years 9 months ago
Simultaneous optimization for concave costs: single sink aggregation or single source buy-at-bulk
We consider the problem of finding efficient trees to send information from k sources to a single sink in a network where information can be aggregated at intermediate nodes in t...
Ashish Goel, Deborah Estrin
ACCV
2009
Springer
14 years 2 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu