In this paper we propose a simple, flexible and efficient hybrid spell checking methodology based upon phonetic matching, supervised learning and associative matching in the AURA neural system. We evaluate our approach against several benchmark spell-checking algorithms for recall accuracy. Our proposed hybrid methodology has the joint highest top 10 recall rate of the techniques evaluated. The...

Abstract Hybrid bonded-rived joint combines bonding and riveting has become one of the most important connection forms in composite materials. This paper investigates analyzes influence geometric parameters CFRP hybrid joints on load-bearing strength. The finite element method is used to analyze strength bonded/riveted between carbon fiber metal under tensile load. different ratios joint’s e/D,...

A scalable source coder was designed for a hybrid HDTV terrestrial broadcasting system. The hybrid combination of analog and digital methods allows for both high video compression ratios and eecient utilization of the available channel capacity. EEcient channel utilization enables closer receivers to decode high quality video, and allows further receivers to decode natural looking, though lower...

We show how theorem proving and methods for handling real algebraic constraints can be combined for hybrid system verification. In particular, we highlight the interaction of deductive and algebraic reasoning that is used for handling the joint discrete and continuous behaviour of hybrid systems. We illustrate proof tasks that occur when verifying scenarios with cooperative traffic agents. From...

This paper discusses fundamentals of hybrid system modelling. Emphazis is put on compositionality and the use of multiform time. Compositionality refers to the ability of freely composing hybrid systems. Since hybrid systems are considered, different time indices occur, and modularity calls for considering “time” as local to each module, this is what is called multiform time. The proposed frame...

Iterative learning procedures on hybrid electro-optics ystems were employed to generate complex reference discriminant functions. The procedure was implemented using a joint transform correlator equipped with a single inexpensive spatial light modulator. Experimental results demonstrate efficient two-class discrimination.

This work explores the use of the Vocal Joystick (VJ) for robotic limb control using a simulated environment. We demonstrate that continuous vocal control is suitable for realtime manipulation of a 3 joint robotic limb in 2-D. We explore several kinematic models by which joint angles are specified, introducing a hybrid system combining forward and inverse kinematic models. Beyond demonstrating ...

This paper proposes a new hybrid architecture that consists of a deep Convolutional Network and a Markov Random Field. We show how this architecture is successfully applied to the challenging problem of articulated human pose estimation in monocular images. The architecture can exploit structural domain constraints such as geometric relationships between body joint locations. We show that joint...

Two novel deep hybrid architectures, the Deep Hybrid Boltzmann Machine and the Deep Hybrid Denoising Auto-encoder, are proposed for handling semisupervised learning problems. The models combine experts that model relevant distributions at different levels of abstraction to improve overall predictive performance on discriminative tasks. Theoretical motivations and algorithms for joint learning f...

Bayesian networks (BNs) constitute a useful tool to model the joint distribution of a set of random variables of interest. This paper is concerned with the network induction problem. We propose a number of hybrid recombination operators for extracting BNs from data. These hybrid operators make use of phenotypic information in order to guide the processing of information during recombination. Th...