We propose a penalized likelihood framework for estimating multiple precision matrices from different classes. Most existing methods either incorporate no information on relationships between the or require this be known priori. The proposed in article allows simultaneous estimation of and matrices. Sparse nonsparse estimators are proposed, both which solving nonconvex optimization problem. To ...

Searching microblog posts, with their limited length and creative language usage, is challenging. We frame the microblog search problem as a data fusion problem. We examine the effectiveness of a recent cluster-based fusion method on the task of retrieving microblog posts. We find that in the optimal setting the contribution of the clustering information is very limited, which we hypothesize to...

The nucleoporin Nup98 is frequently rearranged to form leukemogenic Nup98-fusion proteins with various partners. However, their function remains largely elusive. Here, we show that Nup98-HoxA9, a fusion between Nup98 and the homeobox transcription factor HoxA9, forms nuclear aggregates that frequently associate with facultative heterochromatin. We demonstrate that stable expression of Nup98-Hox...

These instructions give you basic guidelines for preparing camera-ready papers for AP’s journals In the traditional cluster-based collaboration spectrum sensing algorithm, judgment threshold is only related to the false alarm probability. Besides, the cluster head use a simple OR-rule to execute information fusion, which limits the sensing performance to some extent. In this thesis, we propose ...

This paper gives explanation on the basic physics of cold fusion by the TSC (tetrahedral symmetric condensate) theory. Models of TSC formation conditions in condensed matter are first proposed. Secondly formulas for cold fusion rates per D(H)-cluster are explained with typical quantitative results. The 4D/TSC fusion and the 4H/TSC WS fusion are answers, respectively for the D (deuterium)system ...

This paper compares current sensor fusion models and proposes a new time-triggered model for sensor fusion. The time-triggered sensor fusion model decomposes a real time system into three levels, a node level, containing the sensors and the actuators, a cluster level that gathers measurements and performs sensor fusion, and an application level where an application program makes control decisio...

In this paper we develop a method for report level tracking based on Dempster-Shafer clustering using Potts spin neural networks where clusters of incoming reports are gradually fused into existing tracks, one cluster for each track. Incoming reports are put into a cluster and continuous reclustering of older reports is made in order to obtain maximum association fit within the cluster and towa...

Cache Fusion TM is a fundamental component of Oracle’s Real Application Cluster configuration, a shared-cache clustered-database architecture that transparently extends database applications from single systems to multi-node shared-disk clusters. In classic shared-disk implementations, the disk is the medium for data sharing and data blocks are shipped between nodes through disk writes and read...