Computer Science and Center for Research in Computer Vision
Speaker: Dr. Kun Yang From: Princeton University Abstract Novelty detection is important in the Internet of Things (“IoT”) due to the potential threats that IoT devices can present. One-Class Support Vector Machines (OCSVMs) are one of the common approaches for novelty detection due to their ability to identify a wide range of nonlinear classification boundaries. Such flexibility is appropriate for …
CS/CRCV SeminarsSpeaker: Dr. Jialin Liu From: DAMO Academy, Alibaba Group US Abstract AI and data science have demonstrated remarkable potential in enhancing optimization algorithms. Compared with traditional methods, utilizing AI/ML techniques can potentially offer improvements in aspects like computational speed and solution quality. Despite these advancements, a deep, systematic understanding of these methods remains underdeveloped. In this talk, the speaker will demonstrate through …
CS/CRCV Seminars