K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
We introduce an algorithm that, given n objects, learns a similarity matrix over all n2 pairs, from crowdsourced data alone. The algorithm samples responses to adaptively chosen t...
Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, A...
As the number of computing devices embedded into engineered systems continues to rise, there is a widening gap between the needs of the user to control aggregates of devices and t...
Jacob Beal, Stefan Dulman, Kyle Usbeck, Mirko Viro...
Programming languages such as Java and C++ provide exception-handling constructs to handle exception conditions. Applications are expected to handle these exception conditions and...
Cr, As the complexity of high-performance microprocessor increases, functional verification becomes more and more difficult and RTL simulation emerges as the bottleneck of the des...
Joon-Seo Yim, Yoon-Ho Hwang, Chang-Jae Park, Hoon ...