Company Filing History:
Years Active: 2013-2016
Title: The Innovations of Leonid Portnoy
Introduction
Leonid Portnoy is a notable inventor based in Brooklyn, NY. He has made significant contributions to the field of anomaly detection through his innovative methods. With a total of 2 patents, Portnoy's work focuses on processing unlabeled data to identify anomalies effectively.
Latest Patents
Portnoy's latest patents include methods for unsupervised anomaly detection using a geometric framework. These algorithms are designed to process unlabeled data by mapping data elements to a feature space, typically a vector space. Anomalies are detected by identifying points that lie in sparse regions of this feature space. Two feature maps are utilized for mapping data elements: the first is a data-dependent normalization feature map applied to network connections, while the second is a spectrum kernel used for system call traces.
Career Highlights
Leonid Portnoy is affiliated with Columbia University, where he continues to advance his research in anomaly detection. His work has garnered attention for its innovative approach to handling complex data sets.
Collaborations
Portnoy has collaborated with esteemed colleagues such as Eleazar Eskin and Andrew Oliver Arnold, contributing to a rich environment of research and innovation.
Conclusion
Leonid Portnoy's contributions to the field of anomaly detection highlight his expertise and innovative spirit. His work at Columbia University and his patents reflect a commitment to advancing technology in meaningful ways.