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149
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NETWORK
2008
107views more  NETWORK 2008»
15 years 6 months ago
HiCon: a hierarchical context monitoring and composition framework for next-generation context-aware services
This article presents a hierarchical context monitoring and composition framework that effectively supports next-generation context-aware services. The upcoming ubiquitous space w...
Kyungmin Cho, Inseok Hwang, Seungwoo Kang, Byoungj...
296
Voted

Publication
219views
17 years 5 months ago
Achieving QoS for TCP Traffic in Satellite Networks with Differentiated Services
Satellite networks play an indispensable role in providing global Internet access and electronic connectivity. To achieve such a global communications, provisioning of quality of s...
Arjan Durresi, Sastri Kota, Mukul Goyal, Raj Jain,...
226
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CVPR
2009
IEEE
17 years 2 months ago
Holistic Context Modeling using Semantic Co-occurrences
We present a simple framework to model contextual relationships between visual concepts. The new framework combines ideas from previous object-centric methods (which model conte...
Nikhil Rasiwasia (University Of California, San Di...
206
Voted
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 12 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
ICCV
2009
IEEE
16 years 12 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker