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Compact Discrete Representations for Scalable Similarity Search

Room ENG106, Ryerson University

Thursday November 19, 2015 at 1:00 p.m. Mohammad Norouzi, PhD candidate in computer science at the University of Toronto, will be presenting “Compact Discrete Representations for Scalable Similarity Search”. Speaker: Mohammad Norouzi PhD Candidate Day & Time: Thursday, November 19, 2015 1:00 p.m. – 2:00 p.m. Location: Room ENG 106 George Vari Engineering and Computing Centre Ryerson University 245 Church Street Toronto Organizer: IEEE Toronto Computer, Magnetics and Instrument-Measurement Chapters Contact: Maryam Davoudpour, Email:maryam.davoudpour@ieee.org Abstract: Scalable similarity search on images, documents, and user activities benefits generic search, data visualization, and recommendation systems. This talk concerns the design of algorithms and machine learning tools for faster and more accurate similarity search. The proposed techniques advocate the use of discrete codes for representing the similarity structure of data in a compact way. In particular, I will discuss how one can learn to map high-dimensional data onto binary codes with a metric learning approach. Then, I will describe a simple algorithm for fast exact nearest neighbour search in Hamming distance, which exhibits sub-linear query time performance. Going beyond binary codes, I will highlight a compositional generalization of k-means clustering which maps data points onto integer codes with storage and search costs that grow sub-linearly in the number of cluster centers. This representation improves upon binary codes, and provides an even more precise approximation of Euclidean distance. Experimental results are reported on multiple datasets including a dataset of SIFT descriptors with 1B entries. Biography: Mohammad Norouzi is a PhD candidate in computer science at the University of Toronto. His research lies at the intersection of machine learning and computer vision. He is a recipient of a Google US/Canada PhD fellowship in machine learning. He is going to join Google as a research scientist in January 2016.

Novel Single-Source Integral Equation for Solution of Electromagnetic Scattering Problems on Penetrable Objects

Room BA1210, Bahen Centre for Information Technology, University of Toronto

Tuesday November 17, 2015 at 4:00 p.m. Vladimir Okhmatovski, Associate Professor in the Department of Electrical and Computer Engineering at the University of Manitoba, will be presenting “Novel Single-Source Integral Equation for Solution of Electromagnetic Scattering Problems on Penetrable Objects”. Speaker: Vladimir Okhmatovski Associate Professor Department of Electrical and Computer Engineering at the University of Manitoba Day & Time: Tuesday, November 17, 2015 4:00 p.m. Location: Room BA1210 Bahen Center for Information Technology 40 St. George Street, Toronto M5S2E4 Organizer: IEEE Toronto Electromagnetics & Radiation Chapter Contact: Costas D. Sarris, Email:costas.sarris@utoronto.ca Abstract: A new Surface–Volume–Surface Electric Field Integral Equation (SVS-EFIE) is discussed. The SVS-EFIE is derived from the volume integral equation by representing the electric field inside the scatterer as a superposition of the waves emanating from its cross section’s boundary. The SVS-EFIE has several advantages. While being rigorous in nature, it features half of the degrees of freedom compared to the traditional surface integral equation formulations such as PMCHWT and it requires only electric-field-type of Green’s function instead ofboth electric and magnetic field types. The latter property brings significant simplifications to solution of the scattering problems on the objects situated in multilayered media. Both scalar and vector formulations of the SVS-EFIE equation has been developed for solution of 2D scattering problems on penetrable cylinders under TM and TE polarizations. The SVS-EFIE has been also been applied to the solution of the quasi-magneetostatic problems of current flow in complex interconnects in both homogeneous and multilayered media. Detailed description of the method of moment discretization and resultant matrices is discussed. Due to the presence of a product of surface-to-volume and volume-to-surface integral operators, the discretization of the novel SVS-EFIE requires both surface and volume meshes. In order to validate the presented technique, the numericalresults are compared with the reference solutions. Biography: Vladimir Okhmatovski received Ph.D. degree in antennas and microwave circuits from the Moscow Power Engineering Institute, Moscow, Russia in 1997. He was a Post-Doctoral Research Associate with the National Technical University of Athens from 1998 to 1999 and with the University of Illinois at Urbana-Champaign from 1999 to 2003. From 2003 to 2004, he was with the Department of Custom Integrated Circuits at Cadence Design Systems in Tempe, Arizona. In 2004, he joined the Department of Electrical and Computer Engineering, University of Manitoba, where is currently an Associate Professor. His research interests are the fast algorithms of electromagnetics, high-performance computing, modeling of interconnects, and inverse problems.

Terrestrial Broadcast vs. LTE-eMBMS: Competition and Cooperation

Room BA7180, Bahen Centre for Information Technology, University of Toronto

Monday November 16, 2015 at 5:30 p.m. Marco Breiling, IEEE BTS distinguished lecturer, will be presenting “Terrestrial Broadcast vs. LTE-eMBMS: Competition and Cooperation”. Speaker: Marco Breiling IEEE BTS Distinguished Lecturer Chief Scientist of the Broadband & Broadcast (Fraunhofer Institute for Integrated Circuits (IIS), Germany Erlangen) Day & Time: Monday, November 16, 2015 5:30 p.m. – 7:30 p.m. Location: Room BA7180 Bahen Centre for Information Technology, University of Toronto 40 St George St, Toronto, ON M5S 2E4 Organizer: IEEE Toronto Communications Society Contact: Eman Hammad, Email:eman.hammad.ca@ieee.org Abstract: While the broadcast world is reinforcing its armoury by introducing new and highly advanced standards like DVB-T2/-NGH and ATSC 3.0, the pressure by the mobile communications business is ever increasing. As users consume more unicast content or switch over to satellite TV or IPTV, the user base for terrestrial TV is shrinking, whereas the data rates requested by the users in mobile communications networks explode. Moreover, the mobile communications armoury now includes LTE-eMBMS as a broadcast mode, which can handle cases, where many users want to consume the same content. Consequently, the mobile network operators ask for a reallocation of the UHF broadcast bands to standards such as LTE (digital dividend II and more). If we assume that there is a future for broadcast over terrestrial transmission, this talk will shed some light about the question what technical (not commercial!) advantages conventional terrestrial broadcast standards like DVB have over eMBMS and vice versa. This leads to the question, whether the best aspects of both can be combined by having both networks cooperate. A final aspect discussed is the idea of distributing eMBMS content by satellite using, e.g., DVB-S2. Biography: After conducting studies at the Universität Karlsruhe/Germany (now Karlsruhe Institute of Technology – KIT), the Norges Tekniske Høgskole (NTH) in Trondheim/Norway, the Ecole Supérieure d’Ingénieurs en Electronique et Electrotechnique (ESIEE) in Paris and the University of Southampton/England, Marco Breiling graduated with a Dipl.-Ing. degree from KIT in 1997. He earned his PhD degree (with highest honor) for a thesis about turbo codes from Universität Erlangen/Germany in 2002. Since 2001, he has been working at the Fraunhofer Institute for Integrated Circuits (IIS) in Erlangen in the field of satellite and terrestrial communications. He currently holds the position of the broadband & broadcast department’s chief scientist.