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FTCGV
2011
122views more  FTCGV 2011»
12 years 11 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
ICCV
2001
IEEE
14 years 9 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
ECCV
2004
Springer
14 years 9 months ago
A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks
This paper presents a biologically motivated model for low and mid-level vision tasks and its interpretation in computer vision terms. Initially we briefly present the biologically...
Iasonas Kokkinos, Rachid Deriche, Petros Maragos, ...
HYBRID
2003
Springer
14 years 18 days ago
On the Application of Hybrid Control to CPU Reservations
Abstract. An important class of soft real-time applications require dynamic allocation of computational resources in order to comply with their quality of service (QoS) requirement...
Luigi Palopoli, Luca Abeni, Giuseppe Lipari
RTSS
2006
IEEE
14 years 1 months ago
Run-Time Services for Hybrid CPU/FPGA Systems on Chip
Modern FPGA devices, which include (multiple) processor core(s) as diffused IP on the silicon die, provide an excellent platform for developing custom multiprocessor systems-on-pr...
Jason Agron, Wesley Peck, Erik Anderson, David L. ...