Nikolaos Freris

Title: Nikolaos Freris: Innovator in Data Sensing and Mining

Introduction

Nikolaos Freris is a prominent inventor based in Lausanne, Switzerland. He has made significant contributions to the fields of data sensing and mining, holding a total of 2 patents. His innovative approaches have paved the way for advancements in how data is processed and analyzed.

Latest Patents

Freris's latest patents include a "Method for compressed sensing of streaming data and apparatus for performing the same." This computer-implemented method involves recursively sampling an input stream of data using overlapping windowing techniques to obtain previous measurements, which are then utilized to derive subsequent measurements. Another notable patent is the "Method and device for data mining on compressed data vectors." This method focuses on data mining by employing a metric expressible as a function of the Euclidean distance. It involves several steps, including storing positions and values of coefficients with the largest energy in compressed data vectors, discarding less significant coefficients, and determining compression errors to retrieve bounds for the metric.

Career Highlights

Throughout his career, Nikolaos Freris has worked with leading technology companies, including Qualcomm Incorporated and IBM. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in data technology.

Collaborations

Freris has collaborated with notable professionals in his field, including Orhan Ocal and Martin Vetterli. These partnerships have further enhanced his work and expanded the impact of his inventions.

Conclusion

Nikolaos Freris stands out as an influential inventor in the realm of data sensing and mining. His innovative patents and collaborations reflect his commitment to advancing technology and improving data processing methodologies.