Compression of big tensor using tensor decomposition
€10-100 EUR
Paid on delivery
oDescription:\r\nMore and more often we deal with massive amounts of heterogeneous data, for that reason we would like to analyse the so called big data using tensor algebra. Since the big data requires a lot of memory space a first and obvious solution is to perform a compression of the data. For that reason an implementation of the state of the algorithms as well as appropriate modifications should be achieved.\r\noTasks\r\n-Literature study on tensor algebra and tensor decomposition.\r\n-Literature study on big data compression\r\n-Implementation of the state of the art algorithms\r\n\r\nReferences\r\n[1] T. G. Kolda and B. W. Bader. \"Tensor decompositions and applications\". SIAM, 51:455-500, 2009.\r\n[2] N. D. Sidiropoulos, E.E Papalexakis and C. Faloutsos . \"A Parallel Algorithm for Big tensor decomposition using randomly compressed cubes (PARACOMP)\", IEEE Internation Conference on Acoustic, Speech and Signal Processing (ICASSP), 2014 (WE NEED TO WORK ON THIS ALGORITHM I.E PARALLEL ALGORITHM)
Project ID: #9120301
About the project
Awarded to:
-----------------------Nice job. Master in math&[login to view URL] on time.------------------------------------------
3 freelancers are bidding on average €98 for this job
Hi. I am sure I will be able to do this. Regards..........................................................
Hello, dear friend. I am expert in matlab, mathematics, physics,... I have a lot of experiences in many fields. I can help you well. Please contact me. Best regards.
We have a team of expert and we can help you in doing your project such as writing, technical writing, Engineering, PCB designing, FPGA, Verilog /VHDL, MATLAB, Mathematics, Calculus, ETC. We are ready for hiring right More
