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TWC
2010
13 years 4 months ago
Channel Diversity in Random Wireless Networks
The goal of this paper is to explore the benefits of channel diversity in wireless ad hoc networks. Our model is that of a Poisson point process of transmitters, each with a recei...
Kostas Stamatiou, John G. Proakis, James R. Zeidle...
CVPR
2008
IEEE
15 years 1 days ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
CVPR
2010
IEEE
14 years 5 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
GLVLSI
2007
IEEE
140views VLSI» more  GLVLSI 2007»
14 years 4 months ago
Structured and tuned array generation (STAG) for high-performance random logic
Regularly structured design techniques can combat complexity on a variety of fronts. We present the Structured and Tuned Array Generation (STAG) design methodology, which provides...
Matthew M. Ziegler, Gary S. Ditlow, Stephen V. Kos...
SAC
2004
ACM
14 years 3 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley