Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...
In the era of digital information, the value of data resides not only in its volume and quality, but also in the additional information that can be inferred from the combination (a...
Daniele Braga, Francesco Corcoglioniti, Michael Gr...
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
We present a discriminative structureprediction model for the letter-to-phoneme task, a crucial step in text-to-speech processing. Our method encompasses three tasks that have bee...
Sittichai Jiampojamarn, Colin Cherry, Grzegorz Kon...