This paper presents a new document image binarization technique that segments the text from badly degraded historical document images. The proposed technique makes use of the imag...
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Abstract—Consider a communications system where the detector generates a mix of hard and soft outputs, which are then fed into a soft-input channel decoder. In such a setting, it...
Ernesto Zimmermann, David L. Milliner, John R. Bar...
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
This paper presents a new routing strategy, that selects the best network paths in an overlay network, in order to minimize the distortion perceived by the end user. We first pro...