Rapid development of DNA sequencing technologies exponentially increases the amount of publicly available genomic data. Whole genome multiple sequence alignments represent a parti...
Pavol Hanus, Janis Dingel, Georg Chalkidis, Joachi...
Motivated by the paradigm of event-based monitoring, which can potentially alleviate the inherent bandwidth and energy constraints associated with wireless sensor networks, we con...
A current challenge in scientific computing is how to curb the growth of simulation datasets without losing valuable information. While wavelet based methods are popular, they req...
The H.264 encoder has input parameters that determine the bit rate and distortion of the compressed video and the encoding complexity. A set of encoder parameters is referred to a...
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
We investigate the performance of a discrete-time all-analog-processing joint sourcechannel coding system for the transmission of i.i.d. Gaussian and Laplacian sources over AWGN c...
Yichuan Hu, Javier Garcia-Frias, Meritxell Lamarca
This paper describes and evaluates pFPC, a parallel implementation of the lossless FPC compression algorithm for 64-bit floating-point data. pFPC can trade off compression ratio f...
We present a new lossy compressor for discrete sources. For coding a source sequence xn , the encoder starts by assigning a certain cost to each reconstruction sequence. It then f...