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These days, with the increasing demands and responsibilities of life, parents becoming busy most of the time which makes taking care of an infant incredibly difficult task as infants need the attention and supervision of caregivers all... more
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      Computer ScienceInformation TechnologyTechnologyEducational Technology
Regions in three-dimensional magnetic resonance (MR) brain images can be classified using protocols for manually segmenting and labeling structures. For large cohorts, time and expertise requirements make this approach impractical. To... more
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    •   17  
      AlgorithmsBrain ImagingMagnetic Resonance ImagingQuality Improvement
Reprinted from: Longbotham, N.; Pacifici, F.; Glenn, T.; Zare, A.; Volpi, M.; Tuia, D.; Christophe, E.; Michel, J.; Inglada, J.; Chanussot, J.; Qian Du, "Multi-Modal Change Detection, Application to the Detection of Flooded Areas:
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    •   11  
      Remote SensingSatellite remote sensingOptical ImagingOptical Sensor
Efficient decision fusion strategies, for deriving optimal decisions in multisensor target recognitionltracking environments, are postulated and analyzed in this study. This fusion paradigm, which is designed for fusing decisions derived... more
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    •   3  
      Pattern RecognitionDecision FusionAutomatic Target Recognition
Due to its critical role in safety of passengers, air bag deployment has to be highly reliable. Existing crash sensing/detection for air bag deployment are based on single sensing device. Multi sensor decision fusion has the potential for... more
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    •   9  
      Kalman FilterChange detectionMeasurementMulti Sensor Data Fusion
Two research strands, each identifying an area of markedly increasing importance in the current development of pattern analysis technology, underlie the review covered by this paper, and are drawn together to offer both a task-oriented... more
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    •   9  
      Data AnalysisPattern RecognitionCharacter RecognitionClassifier Combination
In this paper, we propose novel spectrally weighted mel-frequency cepstral coefficient (WMFCC) features for emotion recognition from speech. The idea is based on the fact that formant locations carry emotion-related information, and... more
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    •   8  
      Cognitive ScienceLinguisticsSpeech CommunicationEmotion Recognition
We consider a decentralized multi-sensor estimation problem where L sensor nodes observe noisy versions of a correlated random source vector. The sensors amplify and forward their observations over a fading coherent multiple access... more
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    •   7  
      Wireless Sensor NetworksDistributed Estimation (Wireless Sensor Network)Parameter estimationSensor Fusion
Automatic license plate recognition (ALPR) is a pattern recognition application of great importance for access, traffic surveillance and law enforcement. Therefore many studies are concentrated on creating new algorithms or improving... more
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    •   7  
      Pattern RecognitionNeural NetworksNeural NetworkLaw Enforcement
We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge includes... more
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    •   4  
      Emotion RecognitionData FusionDecision FusionGaussian Mixture Model
A diagnostic tool for detecting damage to spiral bevel gears was developed. Two different monitoring technologies, oil debris analysis and vibration, were integrated using data fusion into a health monitoring system for detecting surface... more
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    •   11  
      Decision MakingFuzzy LogicDamage detectionSpace Technology
The purpose of this paper is to present a view of a telemonitoring system based on fuzzy logic for distress situations detection of elderly people living alone in the home environment. This system includes three different sensors:... more
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    •   11  
      Fuzzy LogicFuzzy ControlControl systemElderly People
Today's wireless communication systems follow fixed spectrum assignment policies which leads to overall inefficient spectrum use. Further, spectrum scarcity is an issue for operators with emerging mobile services and large number of users... more
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    •   16  
      Monte Carlo SimulationCognitive radioSpectrum SensingUncertainty
The classification of multisensor data sets, consisting of multitemporal synthetic aperture radar data and optical imagery, is addressed. The concept is based on the decision fusion of different outputs. Each data source is treated... more
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    •   13  
      GeophysicsSupport Vector MachinesGeoscience and remote sensingLand Cover
In this work a decision fusion strategy for image forensics is presented, based on Dempster-Shafer's Theory of Evidence. The goal is to automatically summarize the information provided by several image forensics tools, allowing both a... more
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    •   2  
      Machine LearningDecision Fusion
We develop a novel decision fusion (DF) approach which exploits time-correlation of the unknown binary source under observation through a wireless sensor network (WSN) reporting local decisions to a fusion center (FC) over interfering... more
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    •   5  
      Wireless Sensor NetworksHidden Markov ModelsViterbi algorithmDecision Fusion
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    •   13  
      Earth SciencesNeural NetworkFeature SelectionStatistical Significance
In this paper we present a theoretical performance analysis of the maximum ratio combining (MRC) rule for channel-aware decision fusion over multiple-input multiple-output (MIMO) channels for (conditionally) dependent and independent... more
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    •   7  
      Wireless Sensor NetworksData Fusion (Engineering)MIMO SystemsInformation Fusion
Numerous detection algorithms, using various sensor modalities, have been developed for the detection of mines in cluttered and noisy backgrounds. The performance for each detection algorithm is typically reported in terms of the receiver... more
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    •   23  
      GeophysicsAlgorithmsStatisticsTheory
Automatic license plate recognition (ALPR) is a pattern recognition application of great importance for access, traffic surveillance and law enforcement. Therefore many studies are concentrated on creating new algorithms or improving... more
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    •   7  
      Pattern RecognitionNeural NetworksNeural NetworkLaw Enforcement
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    •   11  
      Magnetic Resonance ImagingSoftwareHippocampusTemporal Lobe
In this paper we provide a study of channel-aware decision fusion (DF) over a “virtual” multiple-input multiple-output (MIMO) channel in the large-array regime at the DF center (DFC). The considered scenario takes into account channel... more
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    •   6  
      Signal Detection TheoryInformation FusionMulti Sensor Data FusionDecision Fusion
We study channel-aware binary decision fusion over a Rayleigh flat fading shared channel with multiple antennas at the Decision Fusion Center (DFC). We derive the optimum and three sub-optimal fusion rules, namely the Max-Log, the... more
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    •   7  
      Wireless Sensor NetworksData Fusion (Engineering)Distributed Estimation and detectionInformation Fusion
In this paper, architectures and methods of decision aggregation in classifier ensembles are investigated. Typically, ensembles are designed in such a way that each classifier is trained independently and the decision fusion is performed... more
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    •   6  
      Pattern RecognitionPattern ClassificationDecision FusionTraining Algorithm
We analyze sufficiency and optimality of energy detection (ED) for decision fusion. The considered scenario assumes on-off keying (OOK), statistical channel state information and a fusion center (FC) equipped with multiple antennas. The... more
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    •   4  
      MIMO SystemsSensor FusionDecision FusionEnergy Detection
We study channel-aware decision fusion over a multiple-input multiple-output (MIMO) channel in the large- array regime at the decision-fusion center (DFC). Inhomogeneous large-scale fading between the sensors and the DFC is consider... more
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    •   7  
      Wireless Sensor NetworksData Fusion (Engineering)MIMO SystemsInformation Fusion
Visual speech information from the speaker's mouth region has been successfully shown to improve noise robustness of automatic speech recognizers, thus promising to extend their usability into the human computer interface. In this paper,... more
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    •   13  
      Biomedical EngineeringAutomatic Speech RecognitionMultimedia Databasehidden Markov model
Numerous detection algorithms, using various sensor modalities, have been developed for the detection of mines in cluttered and noisy backgrounds. The performance for each detection algorithm is typically reported in terms of the receiver... more
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    •   23  
      GeophysicsAlgorithmsStatisticsTheory
This paper describes a novel hand gesture recognition system that utilizes both multi-channel surface electromyogram (EMG) sensors and 3D accelerometer (ACC) to realize user-friendly interaction between human and computers. Signal... more
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    •   7  
      Human Computer InteractionGesture Recognitionhidden Markov modelIntelligent User Interfaces
All thanks and praise are due to the One GOD for giving me the strength and knowledge to complete this work. Without His will and help, nothing could, can, or will be accomplished.
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    • Decision Fusion
This letter is focused on the classic problem of testing samples drawn from independent Bernoulli probability mass functions, when the success probability under the alternative hypothesis is not known. The goal is to provide a systematic... more
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    •   4  
      RadarHypothesis testingMulti Sensor Data FusionDecision Fusion
Classification of hyperspectral data using a classifier ensemble that is based on support vector machines (SVMs) are addressed. First, the hyperspectral data set is decomposed into a few data sources according to the similarity of the... more
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    •   6  
      Earth SciencesSupport vector machineDecision FusionTHERMAL INFRARED REMOTE SENSING DATA
For a wireless sensor network (WSN) with a large number of sensors, a decision fusion rule using the total number of detections reported by local sensors for hypothesis testing, is proposed and studied. Based on a signal attenuation model... more
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    •   14  
      Wireless Sensor NetworksDecision TheoryDistributed Estimation and detectionHypothesis testing
2007) Multiagent decision fusion for motor fault diagnosis. Mechanical Systems and Signal Processing 21(3):pp. 1285-1299.
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    •   21  
      Mechanical EngineeringCivil EngineeringImage ProcessingSignal Processing
The 2009-2010 Data Fusion Contest organized by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society was focused on the detection of flooded areas using multi-temporal and multi-modal images. Both high... more
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      Remote SensingSatellite remote sensingOptical ImagingOptical Sensor
In this letter we propose the Rao test as a simpler alternative to the generalized likelihood ratio test (GLRT) for multisensor fusion. We consider sensors observing an unknown deterministic parameter with symmetric and unimodal noise. A... more
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    •   7  
      Detection & EstimationData Fusion (Engineering)Sensor Data FusionMulti Sensor Data Fusion
In this paper, we propose a special fusion method for combining ensembles of base classifiers utilizing new neural networks in order to improve overall efficiency of classification. While ensembles are designed such that each classifier... more
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    •   7  
      Neural NetworkScience LearningClassifier CombinationEvolutionary Computing
Feature Based Architecture for Decision Fusion by Nayer Wanas A thesis presented to the University of Waterloo in fulfillment of the ... in Systems Design Engineering Waterloo, Ontario, 2003 c Nayer Wanas, 2003 Page 2. I hereby declare... more
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    • Decision Fusion
In this paper, we present some recent developments of Multiple Classifiers Systems (MCS) for remote sensing applications. Some standard MCS methods (boosting, bagging, consensus theory and random forests) are briefly described and applied... more
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    •   10  
      Remote SensingHyperspectral remote sensingMultiple Classifier SystemsSpatial Information
This paper presents four schemes for soft fusion of the outputs of multiple classi®ers. In the ®rst three approaches, the weights assigned to the classi®ers or groups of them are data dependent. The ®rst approach involves the calculation... more
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    •   11  
      Cognitive SciencePattern RecognitionComparative StudyNeural Network
Multichannel analysis is an innovative technique used for the analysis of bioelectrical signals. In this paper, we analyzed uterine Electromyogram (EMG) signals recorded by means of a 4x4 electrode matrix positioned on the woman's abdomen... more
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    •   22  
      Signal ProcessingPattern RecognitionRadial Basis FunctionNeural Network
This paper deals with spectrum sensing for cognitive radio scenarios where the decision fusion center (DFC) exploits array processing. More specifically, we explore the impact of user cooperation and orthogonal transmissions among... more
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    •   7  
      MIMO SystemsCognitive radioSpectrum SensingCooperative Spectrum Sensing
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    •   6  
      Wireless Sensor NetworksData Fusion (Engineering)Target TrackingInformation Fusion
In this paper, we address the multimodal biometric decision fusion problem. By exploring into the user-specific approach for learning and threshold setting, four possible paradigms for learning and decision making are investigated. Since... more
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    •   8  
      Decision MakingPattern RecognitionNeural NetworkMultidisciplinary
Abstract—In cognitive radio systems, secondary users can be coordinated to perform cooperative spectrum sensing so as to detect the primary user more accurately. However, when the sensing observations are forwarded to a common receiver... more
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    •   5  
      Fading ChannelCognitive radioSpectrum SensingPrimary User
Abstract The paper proposes a new Markov chain based CFAR detector for polarimetric data using low level data fusion and high level decision fusion. The Markov chain based CFAR detector extends traditional PDF based CFAR detection to... more
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    •   10  
      GeophysicsPrincipal Component AnalysisMarkov-chain modelData Fusion
In this paper, we present some recent developments of Multiple Classifiers Systems (MCS) for remote sensing applications. Some standard MCS methods (boosting, bagging, consensus theory and random forests) are briefly described and applied... more
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    •   10  
      Remote SensingHyperspectral remote sensingMultiple Classifier SystemsSpatial Information
Pansharpening is the process of improving spatial resolution of multispectral (MS) satellite images using the spatial details of a high resolution Panchromatic (PAN) image. Quality without reference (QNR) index is a tool which can be used... more
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    •   7  
      SpaceImage QualityQuality assessmentDecision Fusion
We address the problem of optimizing the detection performance of sensor networks under communication constraints on the common access channel. Our work helps understanding tradeoffs between sensor network parameters like number of... more
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    •   16  
      Computer NetworksConvergenceCommunication NetworksGenetic Algorithm
We consider Decentralized Detection (DD) of an unknown signal corrupted by zero-mean unimodal noise via Wireless Sensor Networks (WSNs). We assume the presence of both smart and dumb sensors: the former transmit unquantized measurements,... more
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    •   5  
      The Internet of ThingsWireless Sensor NetworksInternet of ThingsMulti Sensor Data Fusion