Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
Static Component Interconnection Test Technology (SCITT) is a new XNOR circuit based technology that is used for board-level interconnection test. SCITT provides an easy test meth...
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
The paper presents a method for efficient text detection in unconstrained environments, based on image features derived from connected components and on a classification architect...
We propose a novel unsupervised method for separating out distinct authorial components of a document. In particular, we show that, given a book artificially “munged” from two...