Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
In many business applications, large data workloads such as sales figures or process performance measures need to be monitored in real-time. The data analysts want to catch proble...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Danie...
Background: Protein sequence clustering has been widely used as a part of the analysis of protein structure and function. In most cases single linkage or graph-based clustering al...
Yonghui Chen, Kevin D. Reilly, Alan P. Sprague, Zh...
architectures at multiple levels of abstraction, encompassing both hardware and software. It has five modes of operation (Design, Model Validation, Build Simulation, Simulate Syste...
Paul S. Coe, Fred W. Howell, Roland N. Ibbett, Lau...
: In image processing, image similarity indices evaluate how much structural information is maintained by a processed image in relation to a reference image. Commonly used measures...