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ICANN
2010
Springer
15 years 7 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke
PERCOM
2006
ACM
16 years 6 months ago
Adaptive Medical Feature Extraction for Resource Constrained Distributed Embedded Systems
Tiny embedded systems have not been an ideal outfit for high performance computing due to their constrained resources. Limitations in processing power, battery life, communication ...
Roozbeh Jafari, Hyduke Noshadi, Majid Sarrafzadeh,...
ICASSP
2008
IEEE
16 years 27 days ago
Filter bank design based on minimization of individual aliasing terms for minimum mutual information subband adaptive beamformin
This paper presents new filter bank design methods for subband adaptive beamforming. In this work, we design analysis and synthesis prototypes for modulated filter banks so as t...
Ken'ichi Kumatani, John W. McDonough, S. Schachl, ...
ICIP
2009
IEEE
16 years 7 months ago
Asymmetric 3d/2d Face Recognition Based On Lbp Facial Representation And Canonical Correlation Analysis
In the recent years, 3D Face recognition has emerged as a major solution to deal with the unsolved issues for reliable 2D face recognition, i.e. lighting condition and viewpoint v...
AIED
2009
Springer
16 years 1 months ago
Toward Scenario Adaptation for Learning
Abstract. This paper presents a methodology for automatically customizing a scenario to suit a learner’s abilities, needs, or goals. Training scenarios are often utilized to give...
James Niehaus, Mark Riedl