The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
Victoria Kostina, Marco F. Duarte, Sina Jafarpour,...
Abstract. We present a novel static analysis technique that substantially improves the quality of invariants inferred by standard loop invariant generation techniques. Our techniqu...
Rahul Sharma 0001, Isil Dillig, Thomas Dillig, Ale...
Successful software systems continuously change their requirements and thus code. When this happens, some existing tests get broken because they no longer reflect the intended be...
Brett Daniel, Danny Dig, Tihomir Gvero, Vilas Jaga...
Identifying the extremal (minimal and maximal) sets from a collection of sets is an important subproblem in the areas of data-mining and satisfiability checking. For example, ext...
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...