We present a new mixture model-based discriminant analysis approach for functional data using a specific hidden process regression model. The approach allows for fitting flexible curve-models to each class of complex-shaped curves presenting regime changes. The model parameters are learned by maximizing the observed-data log-likelihood for each class by using a dedicated expectation-maximizatio...

Genetic background effects contribute to the phenotypic consequences of mutations, and are pervasive across all domains of life that have been examined, yet little is known about how they modify genetic systems. In part this is due to the lack of tractable model systems that have been explicitly developed to study the genetic and evolutionary consequences of background effects. In this study we...

Recently, we introduced and mathematically analysed a new method for grid deformation [15] we call basic deformation method (BDM) here. It generalises the method proposed by Liao [4,6,19]. In this article, we employ the BDM as core of a new multilevel deformation method (MDM) which leads to vast improvements regarding robustness, accuracy and speed. We achieve this by splitting up the deformati...

This paper describes part of a project to develop a multi-camera image tracking system. The system will be developed in the context of a surveillance and monitoring task, principally targeted at tracking people through indoor and outdoor environments. Moving objects were detected for each camera viewpoint using background subtraction. Correspondence between viewpoints is then established by epi...

Background subtraction is a common method for detecting moving objects from static cameras able to achieve real-time performance. However, it is highly dependent on a good background model particularly to deal with dynamic scenes. In this paper a novel real-time algorithm for creating a robust and multimodal background model is presented. The proposed approach is based on an on-line clustering ...

A companion paper presents a worked model for evolution through inflation to initial conditions for an isocurvature model for structure formation. It is shown here that the model is consistent with the available observational constraints that can be applied without the help of numerical simulations. The model gives an acceptable fit to the second moments of the angular fluctuations in the therm...

The late-time entropy production by the massive particle decay induces the various cosmological effects in the early epoch and modify the standard scenario. We investigate the thermalization process of the neutrinos after the entropy production by solving the Boltzmann equations numerically. We find that if the large entropy are produced at t ∼ 1 sec, the neutrinos are not thermalized very well...

Abstract Heavy rainfall in extreme climates often causes natural disasters such as floods, landslides, and debris flows. Rainfall-induced slope instabilities are major geological (Glade Environ Geol 35:160–174, 1998; Dai et al. Eng 51:279–290, 1999; Iverson Water Resour Res 36:1897–1910, 2000; Lee Pradhan Landslides 4:33–41, 2007; Li 13:1109–1123, 2016a; Ecol 91:477–486, 2016b; Wu Hydro-mechani...

Human identification at a distance has recently gained growing interest from computer vision researchers. Gait recognition aims essentially to address this problem by identifying people based on the way they walk. In this paper, a simple but efficient gait recognition algorithm using spatial-temporal silhouette analysis is proposed. For each image sequence, a background subtraction algorithm an...

T his article describes a family of unsupervised approaches to video anomaly detection based on statistical activity analysis. Approaches based on activity analysis provide intriguing possibilities for region-of-interest (ROI) processing since relevant activities and their locations are detected prior to higher-level processing such as object tracking, tagging, and classification. This strategy...