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INTERSPEECH
2010
14 years 4 months ago
Recurrent neural network based language model
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...
Tomas Mikolov, Martin Karafiát, Lukas Burge...
TWC
2010
14 years 4 months ago
Interference-limited opportunistic relaying with reactive sensing
This work evaluates opportunistic relaying in the presence of thermal noise as well as interference, when channel sensing is conducted reactively, in slow fading environments. The ...
Aggelos Bletsas, Antonis G. Dimitriou, John N. Sah...
CVIU
2006
162views more  CVIU 2006»
14 years 9 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
DS
1992
128views Database» more  DS 1992»
14 years 10 months ago
Achieving Incremental Consistency among Autonomous Replicated Databases
In this paper, we present methods for supporting autonomous updates in replicated databases. Autonomous updates are of particular importance to applications that cannot tolerate t...
Stefano Ceri, Maurice A. W. Houtsma, Arthur M. Kel...
72
Voted
CSB
2003
IEEE
121views Bioinformatics» more  CSB 2003»
15 years 2 months ago
Epitope Prediction Algorithms for Peptide based Vaccine Design
Peptide-based vaccines, in which small peptides derived from target proteins (epitopes) are used to provoke an immune reaction, have attracted considerable attention recently as a...
Liliana Florea, Bjarni V. Halldórsson, Oliv...