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» Data Reduction Using Multiple Models Integration
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CVPR
2007
IEEE
16 years 5 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
DATE
2003
IEEE
134views Hardware» more  DATE 2003»
15 years 8 months ago
A Multi-Level Design Flow for Incorporating IP Cores: Case Study of 1D Wavelet IP Integration
The design of high performance multimedia systems in a short time force us to use IP's blocks in many designs. However, their correct integration in a design implies more com...
Adel Baganne, Imed Bennour, Mehrez Elmarzougui, Ri...
NIPS
2008
15 years 4 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
MOBIHOC
2010
ACM
15 years 25 days ago
Near optimal multi-application allocation in shared sensor networks
Recent years have witnessed the emergence of shared sensor networks as integrated infrastructure for multiple applications. It is important to allocate multiple applications in a ...
You Xu, Abusayeed Saifullah, Yixin Chen, Chenyang ...
BTW
2007
Springer
236views Database» more  BTW 2007»
15 years 7 months ago
A Classification of Schema Mappings and Analysis of Mapping Tools
: Schema mapping techniques for data exchange have become popular and useful tools both in research and industry. A schema mapping relates a source schema with a target schema via ...
Frank Legler, Felix Naumann