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While research on the design of heterogeneous concurrent systems has a long and rich history, a unified design methodology and tool support has not emerged so far, and thus the creation of such systems remains a difficult, time-consuming and error-prone process. The absence of principled support for system evaluation and optimization at high abstraction levels makes the quality of the resulting im
In this paper, we study the joint design of optimal linear encoders and decoders for filtering and transmission of a signal over an additive Gaussian noise channel subject to a real-time constraint. The objective is to minimize the variance of the estimation error at the receiving end. The design problem is nonconvex, but it is shown that a global optimum can be found by solving a related two-stag
This paper presents a method for auto-tuning interactive ray tracing on GPUs using a hardware model. Getting full performance from modern GPUs is a challenging task. Workloads which require a guaranteed performance over several runs must select parameters for the worst performance of all runs. Our method uses an analyti- cal GPU performance model to predict the current frame’s render- ing time usi
Scaling the amount of resources allocated to an application according to the actual load is a challenging problem in cloud computing. The emergence of autoscaling techniques allows for autonomous decisions to be taken when to acquire or release resources. The actuation of these decisions is however affected by time delays. Therefore, it becomes critical for the autoscaler to account for this pheno
The growing complexity of signal processing algorithms and platforms poses significant challenges to design methods and implementation tools. High-level dataflow programs, such as those in MPEG's RVC-CAL language, provide abstraction and the opportunity for extensive design-space exploration, but they do raise the problem of efficient automatic synthesis to hardware and software. This paper presen
Multi-sample anti-aliasing is a popular technique for reducing geometric aliasing (jagged edges) and is supported in all modern graphics processors. With multi-sampling anti-aliasing, visibility and depth are sampled more than once per pixel, while shading is done only once per pixel per primitive. Although this significantly reduces the appearance of jagged edges around object boundaries, the ima
We present novel solutions to previously unsolved prob-lems of relative pose estimation from images whose calibration parameters, namely focal lengths and radial distortion, are unknown. Our approach enables metric reconstruction without modeling these parameters. The minimal case for reconstruction requires 13 points in 4 views for both the calibrated and uncalibrated cameras. We describe and imp
Line segments are ubiquitous in our human-made world and are increasingly used in vision tasks. They are complementary to feature points thanks to their spatial extent and the structural information they provide. Traditional line detectors based on the image gradient are extremely fast and accurate, but lack robustness in noisy images and challenging conditions. Their learned counterparts are more
LUM nr 1 - 2004 I Fångar förlåtelsen L U N D S U N I V E R S I T E T M E D D E L A R - - - - - - - - - - - - - - - - N U M M E R 1 J A N 2 0 0 4 Å R G Å N G 3 7 Fångar förlåtelsen Verkstäderna samlade under en hatt ”Kvinnopräst- motståndet starkt inom akademin” II Lunds universitets tidskrift LUM utkom första gången 1968. Den når i dag samtliga anställda och nästan lika många utanför universitetet
https://www.lu.se/sites/www.lu.se/files/lunds-universitets-magasin-1-2004.pdf - 2026-05-30
doi:10.1016/j.mcn.2008.04.008 Reprogramming of neonatal SVZ progenitors by Islet-1 and Neurogenin-2 Nina Rogeliusa, Josephine B. Hebsgaarda,b, Cecilia Lundberga, Malin Parmara,b,⁎ a Wallenberg Neuroscience Center, Department of Experimental Medical Science, Lund University, BMC A11, SE-221 84 Lund, Sweden b Lund Strategic Center for Stem Cell Biology and Cell Therapy, Lund University, BMC A11, SE-
BECC verksamhetsplan 2026 Dnr: 2025/50 2025-12-02 Verksamhetsplan BECC 2026 1. Vision och uppdrag BECC:s uppdrag är att utveckla en sammanhållen kunskapsmiljö vid Lunds (LU) och Göteborgs universitet (GU) som bidrar till att stärka samhällets förmåga att förutsäga och hantera kombinerade effekter av klimatförändringar, markanvändning och antropogena utsläpp på biologisk mångfald och ekosystemtjäns
https://www.becc.lu.se/sites/becc.lu.se/files/2026-04/BECCs%20verksamhetsplan%202026_beslutad.pdf - 2026-05-30
