The splice sites are essential for pre-mRNA maturation and crucial for Splice Site Modelling (SSM); however, there are gaps between the splicing signals and the computationally identified sequence features. In this paper, the Locality Sensitive Features (LSFs) are proposed to reduce the gaps by homogenising their contexts. Under the skewness-kurtosis based statistics and data analysis, SSM attr...

Two new remotely sensed leaf area index (LAI) and surface soil moisture (SSM) satellite-derived products are compared with two sets of simulations of the ORganizing Carbon and Hydrology In Dynamic EcosystEms (ORCHIDEE) and Interactions between Soil, Biosphere and Atmosphere, CO2-reactive (ISBA-A-gs) land surface models. We analyse the interannual variability over the period 1991– 2008. The leaf...

A surface soil moisture (SSM) product at a 1-km spatial resolution derived from the Envisat Advanced Synthetic Aperture Radar (ASAR) Global Monitoring (GM) mode data was evaluated over the entire African continent using coarse spatial resolution SSM acquisitions from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) and the Noah land surface model from the Global La...

Status of this Memo This memo provides information for the Internet community. It does not specify an Internet standard of any kind. Distribution of this memo is unlimited. Abstract The purpose of this document is to provide an overview of Source-Specific Multicast (SSM) and issues related to its deployment. It discusses how the SSM service model addresses the challenges faced in inter-domain m...

This paper presents a new approach to online adaptation of continuous density hidden Markov model (CDHMM) with a small amount of adaptation data based on speaker space model (SSM) evolution. The SSM which characterizes the a priori knowledge of the training speakers is effectively described in terms of the latent variable models such as the factor analysis or probabilistic principal component a...

We present a fully automated method based on an evolutionary algorithm, a statistical shape model (SSM), and a deformable mesh to tackle the liver segmentation task of the MICCAI Grand Challenge workshop. To model the expected shape and appearance, the SSM is trained on 35 training datasets. Segmentation is started by a global search with the evolutionary algorithm, which provides the initial p...

The asymmetries Ak ≡ [Γ(t → Wdk)−Γ(t̄ → Wd̄k)]/[Γ(t → Wdk)+Γ(t̄ → Wd̄k)] in the partial widths of the top quark decays are discussed within the Standard Model (SM), the Two-Higgs-Doublet Model (2HDM) and supersymmetric extensions of the SM (SSM). The leading contributions to these asymmetries in the SM and in the 2HDM are induced by the up-type quark self-energy diagrams and are found to be very sm...

Many inference methods have been proposed to reconstruct unknown Gene Regulatory Networks (GRN) using microarray datasets. State Space Model (SSM) is a method that can be used to infer GRNs from a time series dataset. However, there exist two difficulties in SSM when it is applied for GRN reconstruction: how to estimate initial values of parameters and how to learn the genegene interactions in ...