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Tutorial: Motion Planning for Dynamic Environments
This all-day tutorial introduces the audience to motion planning algorithms and associated mathematical concepts. Prior experience in this area is not assumed. The morning part starts from the basics of collision-free path planning by introducing geometric representations, transformations, configuration spaces, sampling-based motion planning, and combinatorial motion planning. The afternoon part covers methods that address many concerns which arise in practice when the robot's environment is changing or is incompletely specified. This falls under the heading of planning in dynamic environments. Fundamental limitations of planning in this context are discussed, followed by a survey of several successful approaches from specific contexts, such as planning for humanoids, autonomous vehicles, and virtual agents.
IEEE IPDPS 2012
IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects of parallel computation. In addition to technical sessions of submitted paper presentations, the meeting offers workshops, tutorials, and commercial presentations & exhibits. IPDPS represents a unique international gathering of computer scientists from around the world. Now, more than ever, we prize this annual meeting as a testament to the strength of international cooperation in seeking to apply computer science technology to the betterment of our global village.
Annual Healthcare IT Conference 2012
Join national and California leaders to discuss HIEs, EHRs and Meaningful Use, wireless Health IT applications, development of the HIT workforce and job search strategies, and accountable care organizations. This donâ€™t-miss event will be held at the Center for Healthy Communities at the California Endowment near downtown Los Angeles on April 4, 2012 from 8am to 4pm.
Technical session talks from ICRA 2012
We are glad to invite you to ICRA, the robotics community's premiere annual academic conference which will be held in the Saint Paul, MN on May 14-18, 2012. The ICRA theme is "Robots and Automation: Innovation for Tomorrow's Needs." Robotics and automation are at the crossroads of new developments in algorithms, hardware, and software that pave new routes in technological innovation.
NASA FAP 2012 Technical Conference/Subsonic Fixed Wing Project Track
The 2012 Fundamental Aeronautics Program (FAP) Technical Conference will bring together NASA researchers from the four FAP projects with partners from industry, academia, other federal agencies, and the international community. This three-day forum for sharing results obtained from recent NASA research projects also provides an opportunity for NASA's Aeronautics Research Mission Directorate and FAP to present their technology development goals and objectives as determined by the NASA Strategic Plan. Attendees are able to interact with leading researchers in NASA aeronautics and network with peers in aeronautics-related disciplines from across the nation.
26th IEEE International Parallel & Distributed Processing Symposium
IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects of parallel computation. In addition to technical sessions of submitted paper presentations, the meeting offers workshops, tutorials, and commercial presentations & exhibits.
IPDPS represents a unique international gathering of computer scientists from around the world. Now, more than ever, we prize this annual meeting as a testament to the strength of international cooperation in seeking to apply computer science technology to the betterment of our global village.
IEEE Computer Vision and Pattern Recognition (CVPR) 2012
CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and many co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.
ICML 2012 Oral Talks (International Conference on Machine Learning)
ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS). The 29th International Conference on Machine Learning (ICML 2012) will be held in Edinburgh, Scotland, on June 26th July 1, 2012.
Big Learning: Algorithms, Systems, and Tools for Learning at Scale
Driven by cheap commodity storage, fast data networks, rich structured models, and the increasing desire to catalog and share our collective experiences in real-time, the scale of many important learning problems has grown well beyond the capacity of traditional sequential systems. These “Big Learning” problems arise in many domains including bioinformatics, astronomy, recommendation systems, social networks, computer vision, web search and online advertising. Simultaneously, parallelism has emerged as a dominant widely used computational paradigm in devices ranging from energy efficient mobile processors, to desktop supercomputers in the form of GPUs, to massively scalable cloud computing services. The Big Learning setting has attracted intense interest across industry and academia, with active research spanning diverse fields ranging from machine learning and databases to large scale distributed systems and programming languages. However because the Big Learning setting is being studied by experts of these various communities, there is a need for a common venue to discuss recent progress, to identify pressing new challenges, and to exchange new ideas.
This workshop aims to:
* Bring together parallel and distributed system builders in industry and academia, machine learning experts, and end users to identify the key challenges, opportunities, and myths of Big Learning. What REALLY changes from the traditional learning setting when faced with terabytes or petabytes of data?
* Solicit practical case studies, demos, benchmarks and lessons-learned presentations, and position papers.
* Showcase recent and ongoing progress towards parallel ML algorithms
* Provide a forum for exchange regarding tools, software, and systems that address the Big Learning problem.
* Educate the researchers and practitioners across communities on state-of-the-art solutions and their limitations, particularly focusing on key criteria for selecting task- and domain-appropriate platforms and algorithms.