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» Image Distance Using Hidden Markov Models
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CVPR
2005
IEEE
14 years 11 months ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black
CN
2006
117views more  CN 2006»
13 years 9 months ago
Error resilient image transport in wireless sensor networks
In this paper, we propose an "in-network" diversity combining scheme for image transport over wireless sensor networks. We consider a wireless sensor network with both w...
Huaming Wu, Alhussein A. Abouzeid
PERCOM
2005
ACM
14 years 8 months ago
Understanding the real behavior of Mote and 802.11 ad hoc networks: an experimental approach
IEEE 802.11 and Mote devices are today two of the most interesting wireless technologies for ad hoc and sensor networks respectively, and many efforts are currently devoted to und...
Giuseppe Anastasi, Eleonora Borgia, Marco Conti, E...
ISBI
2009
IEEE
14 years 4 months ago
Cell Tracking and Segmentation in Electron Microscopy Images Using Graph Cuts
Understanding neural connectivity and structures in the brain requires detailed 3D anatomical models, and such an understanding is essential to the study of the nervous system. Ho...
Huei-Fang Yang, Yoonsuck Choe
ICASSP
2009
IEEE
14 years 3 months ago
Trajectory training considering global variance for HMM-based speech synthesis
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Tomoki Toda, Steve Young