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ICASSP
2009
IEEE
16 years 1 months ago
Incremental predictive and adaptive noise compensation
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-re...
Federico Flego, Mark J. F. Gales
ALDT
2009
Springer
186views Algorithms» more  ALDT 2009»
16 years 1 months ago
The Complexity of Probabilistic Lobbying
Abstract. We propose various models for lobbying in a probabilistic environment, in which an actor (called “The Lobby”) seeks to influence the voters’ preferences of voting ...
Gábor Erdélyi, Henning Fernau, Judy ...
ICMI
2009
Springer
138views Biometrics» more  ICMI 2009»
16 years 1 months ago
Dialog in the open world: platform and applications
We review key challenges of developing spoken dialog systems that can engage in interactions with one or multiple participants in relatively unconstrained environments. We outline...
Dan Bohus, Eric Horvitz
196
Voted
ICPR
2008
IEEE
16 years 1 months ago
Adaptive semantic Bayesian framework for image attention
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang
ICTAI
2007
IEEE
16 years 1 months ago
CompoNet: Programmatically Embedding Neural Networks into AI Applications as Software Components
The provision of embedding neural networks into software applications can enable variety of Artificial Intelligence systems for individual users as well as organizations. Previous...
Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young...