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https://www.readbyqxmd.com/read/29220315/background-modeling-by-stability-of-adaptive-features-in-complex-scenes
#1
Dan Yang, Chenqiu Zhao, Xiaohong Zhang, Sheng Huang
The single-feature-based background model often fails in complex scenes, since a pixel is better described by several features, which highlight different characteristics of it. Therefore, the multi-feature-based background model has drawn much attention recently. In this paper, we propose a novel multi-feature-based background model, named stability of adaptive feature (SoAF) model, which utilizes the stabilities of different features in a pixel to adaptively weigh the contributions of these features for foreground detection...
March 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29201134/multi-feature-machine-learning-model-for-automatic-segmentation-of-green-fractional-vegetation-cover-for-high-throughput-field-phenotyping
#2
Pouria Sadeghi-Tehran, Nicolas Virlet, Kasra Sabermanesh, Malcolm J Hawkesford
Background: Accurately segmenting vegetation from the background within digital images is both a fundamental and a challenging task in phenotyping. The performance of traditional methods is satisfactory in homogeneous environments, however, performance decreases when applied to images acquired in dynamic field environments. Results: In this paper, a multi-feature learning method is proposed to quantify vegetation growth in outdoor field conditions. The introduced technique is compared with the state-of the-art and other learning methods on digital images...
2017: Plant Methods
https://www.readbyqxmd.com/read/29186756/robust-vehicle-detection-in-aerial-images-based-on-cascaded-convolutional-neural-networks
#3
(no author information available yet)
Vehicle detection in aerial images is an important and challenging task. Traditionally, many target detection models based on sliding-window fashion were developed and achieved acceptable performance, but these models are time-consuming in the detection phase. Recently, with the great success of convolutional neural networks (CNNs) in computer vision, many state-of-the-art detectors have been designed based on deep CNNs. However, these CNN-based detectors are inefficient when applied in aerial image data due to the fact that the existing CNN-based models struggle with small-size object detection and precise localization...
November 24, 2017: Sensors
https://www.readbyqxmd.com/read/29186295/systematic-analysis-and-prediction-of-type-iv-secreted-effector-proteins-by-machine-learning-approaches
#4
Jiawei Wang, Bingjiao Yang, Yi An, Tatiana Marquez-Lago, André Leier, Jonathan Wilksch, Qingyang Hong, Yang Zhang, Morihiro Hayashida, Tatsuya Akutsu, Geoffrey I Webb, Richard A Strugnell, Jiangning Song, Trevor Lithgow
In the course of infecting their hosts, pathogenic bacteria secrete numerous effectors, namely, bacterial proteins that pervert host cell biology. Many Gram-negative bacteria, including context-dependent human pathogens, use a type IV secretion system (T4SS) to translocate effectors directly into the cytosol of host cells. Various type IV secreted effectors (T4SEs) have been experimentally validated to play crucial roles in virulence by manipulating host cell gene expression and other processes. Consequently, the identification of novel effector proteins is an important step in increasing our understanding of host-pathogen interactions and bacterial pathogenesis...
November 27, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/29104279/two-stage-multi-task-representation-learning-for-synthetic-aperture-radar-sar-target-images-classification
#5
Xinzheng Zhang, Yijian Wang, Zhiying Tan, Dong Li, Shujun Liu, Tao Wang, Yongming Li
In this paper, we propose a two-stage multi-task learning representation method for the classification of synthetic aperture radar (SAR) target images. The first stage of the proposed approach uses multi-features joint sparse representation learning, modeled as a ℓ 2 , 1 -norm regularized multi-task sparse learning problem, to find an effective subset of training samples. Then, a new dictionary is constructed based on the training subset. The second stage of the method is to perform target images classification based on the new dictionary, utilizing multi-task collaborative representation...
November 1, 2017: Sensors
https://www.readbyqxmd.com/read/29068358/visual-localization-across-seasons-using-sequence-matching-based-on-multi-feature-combination
#6
Yongliang Qiao
Visual localization is widely used in autonomous navigation system and Advanced Driver Assistance Systems (ADAS). However, visual-based localization in seasonal changing situations is one of the most challenging topics in computer vision and the intelligent vehicle community. The difficulty of this task is related to the strong appearance changes that occur in scenes due to weather or season changes. In this paper, a place recognition based visual localization method is proposed, which realizes the localization by identifying previously visited places using the sequence matching method...
October 25, 2017: Sensors
https://www.readbyqxmd.com/read/28958416/the-functional-effects-of-prior-motion-imagery-and-motion-perception
#7
Shuai Chang, Joel Pearson
The functional sensory effects and commonalties between mental imagery of different visual features such as color, form or motion remains largely unknown. Mental imagery of static visual features, including color and orientation, can have a facilitative, priming effect on subsequent perception. However, whether motion imagery can have a similar effect remains unknown. Here we used the binocular rivalry method as a measure of motion mental imagery. After imagining or viewing motion of a particular direction, participants were required to report the dominant motion direction in a brief motion rivalry stimulus...
September 9, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28937647/identification-of-dna-binding-proteins-using-mixed-feature-representation-methods
#8
Kaiyang Qu, Ke Han, Song Wu, Guohua Wang, Leyi Wei
DNA-binding proteins play vital roles in cellular processes, such as DNA packaging, replication, transcription, regulation, and other DNA-associated activities. The current main prediction method is based on machine learning, and its accuracy mainly depends on the features extraction method. Therefore, using an efficient feature representation method is important to enhance the classification accuracy. However, existing feature representation methods cannot efficiently distinguish DNA-binding proteins from non-DNA-binding proteins...
September 22, 2017: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
https://www.readbyqxmd.com/read/28901574/using-a-multi-feature-paradigm-to-measure-mismatch-responses-to-minimal-sound-contrasts-in-children-with-cochlear-implants-and-hearing-aids
#9
Inger Uhlén, Elisabet Engström, Petter Kallioinen, Cecilia Nakeva von Mentzer, Björn Lyxell, Birgitta Sahlén, Magnus Lindgren, Marianne Ors
Our aim was to explore whether a multi-feature paradigm (Optimum-1) for eliciting mismatch negativity (MMN) would objectively capture difficulties in perceiving small sound contrasts in children with hearing impairment (HI) listening through their hearing aids (HAs) and/or cochlear implants (CIs). Children aged 5-7 years with HAs, CIs and children with normal hearing (NH) were tested in a free-field setting using a multi-feature paradigm with deviations in pitch, intensity, gap, duration, and location. There were significant mismatch responses across all subjects that were positive (p-MMR) for the gap and pitch deviants (F(1,43) = 5...
October 2017: Scandinavian Journal of Psychology
https://www.readbyqxmd.com/read/28866731/classification-of-focal-and-non-focal-epileptic-seizures-using-multi-features-and-svm-classifier
#10
N Sriraam, S Raghu
Identifying epileptogenic zones prior to surgery is an essential and crucial step in treating patients having pharmacoresistant focal epilepsy. Electroencephalogram (EEG) is a significant measurement benchmark to assess patients suffering from epilepsy. This paper investigates the application of multi-features derived from different domains to recognize the focal and non focal epileptic seizures obtained from pharmacoresistant focal epilepsy patients from Bern Barcelona database. From the dataset, five different classification tasks were formed...
September 2, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28865333/assessing-mood-symptoms-through-heartbeat-dynamics-an-hrv-study-on-cardiosurgical-patients
#11
Claudio Gentili, Simone Messerotti Benvenuti, Daniela Palomba, Alberto Greco, Enzo Pasquale Scilingo, Gaetano Valenza
BACKGROUND: Heart Rate Variability (HRV) is reduced both in depression and in coronary heart disease (CHD) suggesting common pathophysiological mechanisms for the two disorders. Within CHD, cardiac surgery patients (CSP) with postoperative depression are at greater risk of adverse cardiac events. Therefore, CSP would especially benefit from depression early diagnosis. Here we tested whether HRV-multi-feature analysis discriminates CSP with or without depression and provides an effective estimation of symptoms severity...
December 2017: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/28841506/parkinsonian-rest-tremor-can-be-detected-accurately-based-on-neuronal-oscillations-recorded-from-the-subthalamic-nucleus
#12
J Hirschmann, J M Schoffelen, A Schnitzler, M A J van Gerven
OBJECTIVE: To investigate the possibility of tremor detection based on deep brain activity. METHODS: We re-analyzed recordings of local field potentials (LFPs) from the subthalamic nucleus in 10 PD patients (12 body sides) with spontaneously fluctuating rest tremor. Power in several frequency bands was estimated and used as input to Hidden Markov Models (HMMs) which classified short data segments as either tremor-free rest or rest tremor. HMMs were compared to direct threshold application to individual power features...
October 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28800468/the-mmn-as-a-viable-and-objective-marker-of-auditory-development-in-ci-users
#13
REVIEW
Risto Näätänen, Bjørn Petersen, Ritva Torppa, Eila Lonka, Peter Vuust
In the present article, we review the studies on the use of the mismatch negativity (MMN) as a tool for an objective assessment of cochlear-implant (CI) functioning after its implantation and as a function of time of CI use. The MMN indexes discrimination of different sound stimuli with a precision matching with that of behavioral discrimination and can therefore be used as its objective index. Importantly, these measurements can be reliably carried out even in the absence of attention and behavioral responses and therefore they can be extended to populations that are not capable of behaviorally reporting their perception such as infants and different clinical patient groups...
July 20, 2017: Hearing Research
https://www.readbyqxmd.com/read/28792477/discrimination-of-oil-slicks-and-lookalikes-in-polarimetric-sar-images-using-cnn
#14
Hao Guo, Danni Wu, Jubai An
Oil slicks and lookalikes (e.g., plant oil and oil emulsion) all appear as dark areas in polarimetric Synthetic Aperture Radar (SAR) images and are highly heterogeneous, so it is very difficult to use a single feature that can allow classification of dark objects in polarimetric SAR images as oil slicks or lookalikes. We established multi-feature fusion to support the discrimination of oil slicks and lookalikes. In the paper, simple discrimination analysis is used to rationalize a preferred features subset...
August 9, 2017: Sensors
https://www.readbyqxmd.com/read/28718051/coronary-heart-disease-preoperative-gesture-interactive-diagnostic-system-based-on-augmented-reality
#15
Yi-Bo Zou, Yi-Min Chen, Ming-Ke Gao, Quan Liu, Si-Yu Jiang, Jia-Hui Lu, Chen Huang, Ze-Yu Li, Dian-Hua Zhang
Coronary heart disease preoperative diagnosis plays an important role in the treatment of vascular interventional surgery. Actually, most doctors are used to diagnosing the position of the vascular stenosis and then empirically estimating vascular stenosis by selective coronary angiography images instead of using mouse, keyboard and computer during preoperative diagnosis. The invasive diagnostic modality is short of intuitive and natural interaction and the results are not accurate enough. Aiming at above problems, the coronary heart disease preoperative gesture interactive diagnostic system based on Augmented Reality is proposed...
August 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28622615/domain-general-neural-correlates-of-dependency-formation-using-complex-tones-to-simulate-language
#16
Ingmar Brilmayer, Jona Sassenhagen, Ina Bornkessel-Schlesewsky, Matthias Schlesewsky
There is an ongoing debate whether the P600 event-related potential component following syntactic anomalies reflects syntactic processes per se, or if it is an instance of the P300, a domain-general ERP component associated with attention and cognitive reorientation. A direct comparison of both components is challenging because of the huge discrepancy in experimental designs and stimulus choice between language and 'classic' P300 experiments. In the present study, we develop a new approach to mimic the interplay of sequential position as well as categorical and relational information in natural language syntax (word category and agreement) in a non-linguistic target detection paradigm using musical instruments...
August 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28603299/multi-feature-based-benchmark-for-cervical-dysplasia-classification-evaluation
#17
Tao Xu, Han Zhang, Cheng Xin, Edward Kim, L Rodney Long, Zhiyun Xue, Sameer Antani, Xiaolei Huang
Cervical cancer is one of the most common types of cancer in women worldwide. Most deaths due to the disease occur in less developed areas of the world. In this work, we introduce a new image dataset along with expert annotated diagnoses for evaluating image-based cervical disease classification algorithms. A large number of Cervigram(®) images are selected from a database provided by the US National Cancer Institute. For each image, we extract three complementary pyramid features: Pyramid histogram in L*A*B* color space (PLAB), Pyramid Histogram of Oriented Gradients (PHOG), and Pyramid histogram of Local Binary Patterns (PLBP)...
March 2017: Pattern Recognition
https://www.readbyqxmd.com/read/28559190/occipital-parietal-and-frontal-cortices-selectively-maintain-task-relevant-features-of-multi-feature-objects-in-visual-working-memory
#18
Qing Yu, Won Mok Shim
Previous studies have shown that information held in visual working memory is represented in the occipital, parietal, and frontal cortices. However, less is known about whether the mnemonic information of multi-feature objects is modulated by task demand in the parietal and frontal regions. To address this question, we asked participants to remember either color or orientation of one of the two colored gratings for a delay. Using fMRI and an inverted encoding model, we reconstructed population-level, feature-selective responses in the occipital, parietal and frontal cortices during memory maintenance...
May 27, 2017: NeuroImage
https://www.readbyqxmd.com/read/28549538/processing-of-word-stress-related-acoustic-information-a-multi-feature-mmn-study
#19
Ferenc Honbolygó, Orsolya Kolozsvári, Valéria Csépe
In the present study, we investigated the processing of word stress related acoustic features in a word context. In a passive oddball multi-feature MMN experiment, we presented a disyllabic pseudo-word with two acoustically similar syllables as standard stimulus, and five contrasting deviants that differed from the standard in that they were either stressed on the first syllable or contained a vowel change. Stress was realized by an increase of f0, intensity, vowel duration or consonant duration. The vowel change was used to investigate if phonemic and prosodic changes elicit different MMN components...
May 23, 2017: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/28523350/comparison-of-a-radiomic-biomarker-with-volumetric-analysis-for-decoding-tumour-phenotypes-of-lung-adenocarcinoma-with-different-disease-specific-survival
#20
Mei Yuan, Yu-Dong Zhang, Xue-Hui Pu, Yan Zhong, Hai Li, Jiang-Fen Wu, Tong-Fu Yu
OBJECTIVES: To compare a multi-feature-based radiomic biomarker with volumetric analysis in discriminating lung adenocarcinomas with different disease-specific survival on computed tomography (CT) scans. METHODS: This retrospective study obtained institutional review board approval and was Health Insurance Portability and Accountability Act (HIPAA) compliant. Pathologically confirmed lung adenocarcinoma (n = 431) manifested as subsolid nodules on CT were identified...
May 18, 2017: European Radiology
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