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96
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EMMCVPR
2005
Springer
15 years 6 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
98
Voted
CORR
2010
Springer
98views Education» more  CORR 2010»
15 years 25 days ago
Linear Operator Channels over Finite Fields
Motivated by random linear network coding, we study the communication through channels, called linear operator channels (LOCs), that perform linear operation over finite fields. Fo...
Shenghao Yang, Siu-Wai Ho, Jin Meng, En-Hui Yang
222
Voted
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
16 years 2 months ago
Mining Search-Phrase Definitions from Item Descriptions
In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating ...
Hung V. Nguyen, Hasan Davulcu
FPGA
2009
ACM
233views FPGA» more  FPGA 2009»
15 years 7 months ago
FPCNA: a field programmable carbon nanotube array
Carbon nanotubes (CNTs), with their unique electronic properties, are promising materials for building nanoscale circuits. In this paper, we present a new CNT-based FPGA architect...
Chen Dong, Scott Chilstedt, Deming Chen
GLOBECOM
2007
IEEE
15 years 7 months ago
Mobility-Assisted Sensor Networking for Field Coverage
—In many sensor network applications, manual or well-controlled node deployment is not practical. Random deployments, e.g., from the air, often result in unevenly distributed nod...
Dan Wang, Jiangchuan Liu, Qian Zhang