The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Restricted Boltzmann machines (RBMs) are widely used for data representation and feature learning in various machine learning tasks. The undirected structure of an RBM allows inference to be performed efficiently, because the latent variables are dependent on each other given the visible variables. However, we believe the correlations among latent variables are crucial for faithful data representation...
We introduce a novel dynamic model for discrete time-series data, in which the temporal sampling may be nonuniform. The model is specified by constructing a hierarchy of Poisson factor analysis blocks, one for the transitions between latent states and the other for the emissions between latent states and observations. Latent variables are binary and linked to Poisson factor analysis via Bernoulli-Poisson...
We propose a new way of analyzing biological pathways in which the analysis combines both transcriptome data and mutation information and uses the outcome to identify routes of aberrant pathways potentially responsible for the etiology of disease. Each pathway route is encoded as a Bayesian Network which is initialized with a sequence of conditional probabilities which are designed to encode directionality...
In order to efficiently support the Machine-to- Machine (M2M) applications, a new amendment of Wi-Fi standard known as IEEE 802.11ah is introduced. In 802.11ah, several enhanced MAC features are added so as to provide scalability for a large number of stations as well as to reduce the energy consumption compared with the existing Wi-Fi technologies. In this paper, a selected set of 802.11ah MAC features...
Wind power producers (WPPs) that sell power in forward power markets would like to minimize their operating costs which increase with generation uncertainty. In this work, the value of energy storage for reducing such costs is studied. In particular, profit maximization is considered for a WPP who participates in a two-settlement (forward and real time) market and utilizes energy storage by charging/discharging...
Cross-language transfer speech recognition aims to transform phoneme models for a source language to recognize a target language lacking labeled data and other linguistic resources. In this paper, sparse auto-encoder, a deep learning method, is introduced to derive shared speech features between source and target language using semi-supervised learning. It can extract the shared representation of...
In this paper, we propose a robust ROI-based technique for needle detection and tracking in 3D ultrasound. Based on a previously proposed RANSAC procedure, a region of interest (ROI) selection strategy is implemented along with a Kalman method. Due to the scatter noise of ultrasound, the background in 3D ultrasound volumes usually features large echoes corresponding not only to the needle to be detected,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.