We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
Dynamic spectrum management (DSM) has been recognized as a key technology to significantly improve the performance of digital subscriber line (DSL) broadband access networks. The b...
Paschalis Tsiaflakis, Ion Necoara, Johan A. K. Suy...
We present a novel extension to a recently proposed incremental learning algorithm for the word segmentation problem originally introduced in Goldwater (2006). By adding rejuvenat...
We propose new algorithms and improved bounds for interference-aware routing in wireless networks. First, we prove that n arbitrarily matched source-destinations pairs with average...
Chiranjeeb Buragohain, Subhash Suri, Csaba D. T&oa...
We propose an algorithm to improve the quality of depth-maps used for Multi-View Stereo (MVS). Many existing MVS techniques make use of a two stage approach which estimates depth-m...