This work presents a semi-supervised EM algorithm for learning generative models for classification/recognition of human trajectories, with application to surveillance. The classifier is based on switched dynamical models, each model describing a specific motion regime. We present a semi-supervised modified version of the classical BaumWelch algorithm, which is able to take into account a subse...

Semi-supervised multi-label classification has been applied to many real-world applications such as image classification, document classification and so on. In semi-supervised learning, unlabeled samples are added to the training set for enhancing the classification performance, however, noises are introduced simultaneously. In order to reduce this negative effect, the nearest neighbor data edi...

Propagating input uncertainty through non-linear Gaussian process (GP) mappings is intractable. This hinders the task of training GPs using uncertain and partially observed inputs. In this paper we refer to this task as “semi-described learning”. We then introduce a GP framework that solves both, the semi-described and the semi-supervised learning problems (where missing values occur in the out...

This paper proposes a smartphone-based network real-time kinematic (RTK) positioning and gravity-surveying application (app) that allows semi-real-time measurements using the built-in Bluetooth features of the smartphone and a third-generation or long-term evolution wireless device. The app was implemented on a single smartphone by integrating a global navigation satellite system (GNSS) control...

Work described in this paper is aimed at developing a monitoring and fault detection system for the process plant. In particular this work concentrates on how to combine qualitative reasoning techniques with conventional numerical sensor fusion techniques. The advantages and disadvantages of using pure numerical or pure qualitative technique alone arefirst demonstrated. A method of developing a...

Let R be a real closed field (e.g. the field of real numbers) and S ⊂ R be a semi-algebraic set defined as the set of points in R satisfying a system of s equalities and inequalities of multivariate polynomials in n variables, of degree at most D, with coefficients in an ordered ring Z contained in R. We consider the problem of computing the real dimension, d, of S . The real dimension is the f...