We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term &qu...
Traffic anomalies and attacks are commonplace in today’s networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusi...
Pin Ren, Yan Gao, Zhichun Li, Yan Chen, Benjamin W...
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
Most of Information Retrieval (IR) systems are still based on bag of word paradigm. This is a strong limitation if one needs high precision answers. For example, in restricted doma...
Performance monitoring in most distributed systems provides minimal guidance for tuning, problem diagnosis, and decision making. Stardust is a monitoring infrastructure that repla...
Eno Thereska, Brandon Salmon, John D. Strunk, Matt...