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136
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ICDAR
2003
IEEE
15 years 9 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
118
Voted
INFOCOM
2003
IEEE
15 years 9 months ago
Localized minimum-energy broadcasting in ad-hoc networks
— In the minimum energy broadcasting problem, each node can adjust its transmission power in order to minimize total energy consumption but still enable a message originated from...
Julien Cartigny, David Simplot, Ivan Stojmenovic
146
Voted
CIKM
2001
Springer
15 years 8 months ago
Caching Constrained Mobile Data
As mobile devices get ubiquitous and grow in computational power, their management of interdependent data also becomes increasingly important. The mobile environment exhibits all ...
Subhasish Mazumdar, Mateusz Pietrzyk, Panos K. Chr...
128
Voted
IPPS
1999
IEEE
15 years 8 months ago
Real-Time Image Processing on a Focal Plane SIMD Array
Real-time image processing applications have tremendous computational workloads and I/O throughput requirements. Operation in mobile, portable devices poses stringent resource limi...
Antonio Gentile, José Cruz-Rivera, D. Scott...
109
Voted
EMNETS
2007
15 years 7 months ago
SeeDTV: deployment-time validation for wireless sensor networks
Deployment of a wireless sensor network (WSN) system is a critical step because theoretical models and assumptions often differ from real environmental characteristics and perform...
H. Liu, Leo Selavo, John A. Stankovic