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COGSR
2011
99views more  COGSR 2011»
13 years 5 months ago
A biologically realistic cleanup memory: Autoassociation in spiking neurons
Methods for cleaning up (or recognizing) states of a neural network are crucial for the functioning of many neural cognitive models. For example, Vector Symbolic Architectures pro...
Terrence C. Stewart, Yichuan Tang, Chris Eliasmith
CIKM
2010
Springer
13 years 5 months ago
Exploiting hierarchical tags for context-awareness
Context-awareness for information retrieval is challenging problem as information about the users current situation is rarely available. If such information would be available, re...
Alan Said, Jérôme Kunegis, Ernesto Wi...
ICASSP
2011
IEEE
13 years 2 months ago
HNM-based MFCC+F0 extractor applied to statistical speech synthesis
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
Daniel Erro, Iñaki Sainz, Eva Navas, Inma H...
ICIP
2009
IEEE
14 years 8 months ago
On the Use of Color Appearance Modeling for Efficient Compressed-Domain Image Enhancement
In this paper we propose a compressed-domain image enhancement algorithm based on color appearance modeling. We aim at providing an efficient high-quality JPEG color image enhancem...
Maria Chatzigiorgaki, Athanassios N. Skodras
CVPR
2010
IEEE
14 years 6 months ago
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
Bangpeng Yao, Li Fei-Fei