This paper proposes a novel particle filtering framework for multi-target tracking by using online learned class-specific and instancespecific cues, called Data-Driven Particle Filtering (DDPF). The learned cues include an online learned geometrical model for excluding detection outliers that violate geometrical constraints, global pose estimators shared by all targets for particle refinement, ...

a novel technique is investigated for pid controller adaptation in order to control thetemperature of a liquid-phase reactor tank by using a heat exchanger system. as for nonlinearity,time delay problems and model uncertainties introduced by the heat exchanger, an interval type-2fuzzy system (it2fs) is implemented to enhance and improve the total control performance.moreover, the fuzzy inferenc...

Abstract We develop an inflationary model without small parameters on the basis of multidimensional f ( R ) gravity with a minimally coupled scalar field. The is described by two stages space expansion. first one begins at energy scales about D-dimensional Planck mass and ends de Sitter metric our maximally symmetric extra dimensions. In following, quantum fluctuations produce wide set inhomoge...

Traditionally, given two timing constraint sets, their relationship is defined by their timed trace inclusions. This approach only gives a boolean answer to if one set of constraints is contained within the other. In this paper, we first introduce a quantitative measure to describe the closeness or the similarity between two timing constraint sets. We intend to study the satisfaction bounds of ...

Performance tuning in modern database systems requires a lot of expertise, is very time consuming and often misdirected. Tuning attempts often lack a methodology that has a holistic view of the database. The absence of historical diagnostic information to investigate performance issues at first occurrence exacerbates the whole tuning process often requiring that problems be reproduced before th...

We extend position and phase-shift tuning, concepts already well established in the disparity energy neuron literature, to motion energy neurons. We show that Reichardt-like detectors can be considered examples of position tuning, and that motion energy filters whose complex valued spatio-temporal receptive fields are space-time separable can be considered examples of phase tuning. By combining...

The general task of optimal adaptive control with recursive identification (self-tuning control) is very complicated problem. This problem is solved usually by the separation of identification and control – the Certainty Equivalency (CE) Principle. The aim of this paper is to present the solution of this problem using the Dual Adaptive Control (Bicriterial Approach). The main idea of this appro...