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ICCV
2011
IEEE
14 years 4 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
ISVC
2007
Springer
15 years 10 months ago
Gradient-Based Hand Tracking Using Silhouette Data
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...
Paris Kaimakis, Joan Lasenby
OTM
2005
Springer
15 years 10 months ago
Spatio-temporal Schema Integration with Validation: A Practical Approach
We propose to enhance a schema integration process with a validation phase employing logic-based data models. In our methodology, we validate the source schemas against the data mo...
Anastasiya Sotnykova, Nadine Cullot, Christelle Va...
DT
2006
180views more  DT 2006»
15 years 4 months ago
A SystemC Refinement Methodology for Embedded Software
process: Designers must define higher abstraction levels that allow system modeling. They must use description languages that handle both hardware and software components to descri...
Jérôme Chevalier, Maxime de Nanclas, ...
SBCCI
2005
ACM
98views VLSI» more  SBCCI 2005»
15 years 10 months ago
Mapping embedded systems onto NoCs: the traffic effect on dynamic energy estimation
This work addresses the problem of application mapping in networks-on-chip (NoCs). It explores the importance of characterizing network traffic to effectively predict NoC energy c...
José Carlos S. Palma, César A. M. Ma...