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» Optimizing layered middleware
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ICASSP
2011
IEEE
12 years 11 months ago
Deep neural networks for acoustic emotion recognition: Raising the benchmarks
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant An...
André Stuhlsatz, Christine Meyer, Florian E...
ICCV
2011
IEEE
12 years 7 months ago
Learning a Category Independent Object Detection Cascade
Cascades are a popular framework to speed up object detection systems. Here we focus on the first layers of a category independent object detection cascade in which we sample a l...
Esa Rahtu, Juho Kannala, Matthew Blaschko
PLDI
2010
ACM
14 years 17 days ago
Finding low-utility data structures
Many opportunities for easy, big-win, program optimizations are missed by compilers. This is especially true in highly layered Java applications. Often at the heart of these misse...
Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas ...
TCAD
2008
114views more  TCAD 2008»
13 years 7 months ago
Three-Dimensional Chip-Multiprocessor Run-Time Thermal Management
Three-dimensional integration has the potential to improve the communication latency and integration density of chip-level multiprocessors (CMPs). However, the stacked highpower de...
Changyun Zhu, Zhenyu (Peter) Gu, Li Shang, Robert ...
TCSV
2008
119views more  TCSV 2008»
13 years 7 months ago
Scalable Joint Source-Channel Coding for the Scalable Extension of H.264/AVC
This paper proposes a novel joint source-channel coding (JSCC) methodology which minimizes the end-to-end distortion for the transmission over packet loss channels of scalable vide...
Maryse R. Stoufs, Adrian Munteanu, Jan Cornelis, P...