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Posts

Feb, 2

Fast, Realistic Terrain Synthesis

The authoring of realistic terrain models is necessary to generate immersive virtual environments for computer games and film visual effects. However, creating these landscapes is difficult – it usually involves an artist spending many hours sculpting a model in a 3D design program. Specialised terrain generation programs exist to rapidly create artificial terrains, such as […]
Feb, 2

Extracting Flow Features Using Bag-of-Features and Supervised Learning Techniques

Measuring the similarity between two streamlines is fundamental to many important flow data analysis and visualization tasks such as feature detection, pattern querying and streamline clustering. This dissertation presents a novel streamline similarity measure inspired by the bag-of-features concept from computer vision. Different from other streamline similarity measures, the proposed one considers both the distribution […]
Feb, 2

Kalman-Filter-Based Particle Tracking on Parallel Architectures at Hadron Colliders

Power density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors such as GPGPU, ARM and Intel MIC. To stay within the power density limits but still obtain Moore’s Law performance/price gains, it will be necessary to parallelize algorithms to exploit larger numbers […]
Feb, 2

GPGPU Multi Object Bayesian Tracking with an embedded System on a Chip

Current embedded multi object tracking system implementations are dominated by the use of Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs) as application accelerators. These offer many of the traits desirable for embedded and real time systems, including; task oriented architectures, deterministic latency and low power requirements. The drawbacks to these approaches […]
Feb, 1

A power-aware symbiotic scheduling algorithm for concurrent GPU kernels

The past several years have witnessed significant performance improvements in High-Performance Computing (HPC), due to the incorporation of GPUs as co-processors. On one hand, GPU devices are growing significantly in terms of the available number of cores and the memory hierarchy; as a result, effective utilization of the available GPU resources while limiting the system […]
Feb, 1

Accelerating the Critical Line Algorithm for Portfolio Optimization Using GPUs

Since the introduction of the Modern Portfolio Theory by Markowitz in the Journal of Finance in 1952, it has been the underlying theory in several portfolio optimization techniques. With the advancement of computers, most portfolio optimization are done by CPUs. Over the years, there have been papers that introduce various optimization methods including those introduced […]
Feb, 1

Deep learning review and its applications

Deep neural networks have recently gained popularity for improving state-of-the-art machine learning algorithms in diverse areas such as speech recognition, computer vision and bioinformatics. Convolutional networks especially have shown prowess in visual recognition tasks such as object recognition and detection in which this work is focused on. Modern award-winning architectures have systematically surpassed previous attempts […]
Feb, 1

R2GUESS: A Graphics Processing Unit-Based R Package for Bayesian Variable Selection Regression of Multivariate Responses

Technological advances in molecular biology over the past decade have given rise to high dimensional and complex datasets offering the possibility to investigate biological associations between a range of genomic features and complex phenotypes. The analysis of this novel type of data generated unprecedented computational challenges which ultimately led to the definition and implementation of […]
Feb, 1

A Reproducible Research Methodology for Designing and Conducting Faithful Simulations of Dynamic HPC Applications

The evolution of High-Performance Computing systems has taken asharp turn in the last decade. Due to the enormous energyconsumption of modern platforms, miniaturization and frequencyscaling of processors have reached a limit. The energy constraintshas forced hardware manufacturers to develop alternative computerarchitecture solutions in order to manage answering the ever-growingneed of performance imposed by the scientists […]
Jan, 30

2nd Int. Conference on Machine Vision and Applications (ICMVA), 2016

The conference committees are consisted of professors, specialists and distinguished researchers from all over the world. Keynote Speakers Fellow of IEEE and IAPR, Prof. David Zhang, Hong Kong Polytechnic University, Hong Kong Prof. Alexander Balinsky, Cardiff University, UK Fellow of IEEE and IAPR, Prof. Jiebo Luo, University of Rochester, USA Prof. Zhouchen Lin, Department of […]
Jan, 30

International Conference on Computational Intelligence and Applications (ICCIA), 2016

Call for Paper: Data mining Fuzzy Systems Hybrid intelligent systems Neural Networks Telecommunications etc. Publication: After a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the conference Proceedings and will be indexed by EI compendex. Keynote Speakers: Prof. Dong Hwa Kim, Dept. of Instrumentation and Control Engineering, Hanbat […]
Jan, 30

5th IEEE International Conference on Image, Vision and Computing (ICIVC), 2016

★Call for paper★ Topic about Image, Vision and Computing For details about topics, please visit at http://www.icivc.org/cfp.html ★ Publication All accepted papers must be written in English and will be published into IEEE Conference Proceedings which will be indexed by Ei Compendex and other index service. ★Submission★ 1. Full paper(publication and presentation) 2. Abstract (presentation) […]

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