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ICML
2006
IEEE
16 years 6 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
EWSN
2004
Springer
16 years 5 months ago
Tracking Real-World Phenomena with Smart Dust
Abstract. So-called "Smart Dust" is envisioned to combine sensing, computing, and wireless communication capabilities in an autonomous, dust-grain-sized device. Dense net...
Kay Römer
ICDCS
2009
IEEE
16 years 2 months ago
Protecting Neighbor Discovery Against Node Compromises in Sensor Networks
The neighborhood information has been frequently used by protocols such as routing in sensor networks. Many methods have been proposed to protect such information in hostile envir...
Donggang Liu
CVPR
2010
IEEE
16 years 1 months ago
Image Webs: Computing and Exploiting Connectivity in Image Collections
The widespread availability of digital cameras and ubiquitous Internet access have facilitated the creation of massive image collections. These collections can be highly interconn...
Kyle Heath
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
16 years 1 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu