Outline 3. Data Analysis 4. Follow Up Study 1. Previous Work 2. Experiment.
Xren Nips12 Sparse Code Gradients
Hurricane Storm Surge Simulation on Petascale Computers Clint Dawson and Ethan Kubatko, UT Austin; Joannes Westerink, Notre Dame; Anna Spagnuolo, Oakland.
Classification using intersection kernel SVMs is efficient Joint work with Subhransu Maji and Alex Berg Jitendra Malik UC Berkeley.
SPONSORED BY SA2014.SIGGRAPH.ORG MCGraph: Multi-criterion representation for scene understanding Moos Hueting ∗ Aron Monszpart ∗ Nicolas Mellado University.
Gravity wave breaking over the central Alps: Role of complex topography Qingfang Jiang, UCAR/NRL, Monterey James D. Doyle, NRL, Monterey, CA Acknowledgements:
Probabilistic Fingerprints for Shapes Niloy J. MitraLeonidas Guibas Joachim GiesenMark Pauly Stanford University MPII SaarbrückenETH Zurich.
A Framework of Extracting Multi-scale Features Using Multiple Convolutional Neural Networks Kuan-Chuan Peng Tsuhan Chen 1.
Computational Math Group Amik St-Cyr, Ram Nair, Natasha Flyer Group Head: Piotr Smolarkiewicz.
Classification using intersection kernel SVMs is efficient
Collaboration & Research Success: NOAA/National Weather Service and North Carolina State University Presented by: Gail Hartfield NOAA/NWS Raleigh, NC.
