”Boosting” is a general method for improving the performance of any learning algorithm that consistently generates classifiers which need to perform only slightly better than random guessing. A recently proposed and very promising boosting algorithm is AdaBoost [5]. It has been applied with great success to several benchmark machine learning problems using rather simple learning algorithms [4],...

Cellular networks beyond LTE must address the requirements of Machine Type Communications (MTC). Many MTC applications fall into category of the cyber-physical systems, i.e., feedback systems with the physical processes integrated with networks and computation. The challenge of CPS is to design the communication network to support the underlying feedback control loop. To address this challenge,...

Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an unmanned underwater vehicle is described in this paper. The control algorithm...

High speed computer and telephone networks carry large amounts of data and signalling traffic. The engineers who build and maintain these networks use a combination of hardware and software tools to monitor the stream of network traffic. Some of these tools operate directly on the live network; others record data on magnetic tape for later offline analysis by software. Most analysis tasks requi...

In this paper we study the effect of various configuration choices on the performance of a mirrored disk array. We introduce a large class of semistructured configurations which provide good seek minimization and bandwidth. We study their properties with respect to both online and offline mirroring algorithms. We also prove a theorem concerning the load balancing capabilities of random or semis...

We have proposed and evaluated a novel approach for online speaker adaptation of an acoustic model based on face recognition. Instead of traditionally used audio-based speaker identification we investigated the video modality for the task of speaker detection. A simulated on-line transcription created by a Large-Vocabulary Continuous Speech Recognition (LVCSR) system for online subtitling is ev...

We present a new “hp” parameter multi-domain certified reduced basis method for rapid and reliable online evaluation of functional outputs associated with parametrized elliptic partial differential equations. We propose a new procedure and attendant theoretical foundations for adaptive partition of the parameter domain into parameter subdomains (“h”-refinement); subsequently, we construct indiv...

We present several examples of programs which ee-ciently monitor the answers from queries performed on data structures to determine if any errors are present. Our paper includes the rst eecient on-line error monitor for a data structure designed to perform nearest neighbor queries. Applications of nearest neighbor queries are extensive and include learning, categorization, speech processing , a...

This paper deals with different software based strategies allowing the on-line detection of bit flip errors arising in microprocessor-based digital architectures as the consequence of the interaction with radiation. Fault injection experiments put in evidence the detection capabilities and the limitations of each of the studied techniques. RELATED TOPICS: Radiation effects, fault tolerant syste...