CLASSIFICATION OF TEMPORAL CHARACTERISTICS OF EPILEPTIC EEG SUBBANDS BASED ON THE LOCAL MAXIMA

2013 ◽  
pp. 44-55 ◽  
Author(s):  
S. JANJARASJITT
Keyword(s):  
Temporal Characteristics ◽  
Local Maxima

scholarly journals Classification of Microarray Gene Expression Data Using an Infiltration Tactics Optimization (ITO) Algorithm

Genes ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 819
Author(s):  
Javed Zahoor ◽  
Kashif Zafar
Keyword(s):  
High Reliability ◽  
Parameter Tuning ◽  
Microarray Gene Expression Data ◽  
Microarray Gene Expression ◽  
Local Maxima ◽  
Non Local ◽  
Two Phases ◽  
Ito Process ◽  
Heterogeneous Base

A number of different feature selection and classification techniques have been proposed in literature including parameter-free and parameter-based algorithms. The former are quick but may result in local maxima while the latter use dataset-specific parameter-tuning for higher accuracy. However, higher accuracy may not necessarily mean higher reliability of the model. Thus, generalized optimization is still a challenge open for further research. This paper presents a warzone inspired “infiltration tactics” based optimization algorithm (ITO)—not to be confused with the ITO algorithm based on the Itõ Process in the field of Stochastic calculus. The proposed ITO algorithm combines parameter-free and parameter-based classifiers to produce a high-accuracy-high-reliability (HAHR) binary classifier. The algorithm produces results in two phases: (i) Lightweight Infantry Group (LIG) converges quickly to find non-local maxima and produces comparable results (i.e., 70 to 88% accuracy) (ii) Followup Team (FT) uses advanced tuning to enhance the baseline performance (i.e., 75 to 99%). Every soldier of the ITO army is a base model with its own independently chosen Subset selection method, pre-processing, and validation methods and classifier. The successful soldiers are combined through heterogeneous ensembles for optimal results. The proposed approach addresses a data scarcity problem, is flexible to the choice of heterogeneous base classifiers, and is able to produce HAHR models comparable to the established MAQC-II results.

Temporal Characteristics of Auditory Adaptation

1980 ◽  
Vol 45 (2) ◽  
pp. 209-215 ◽  
Author(s):  
Terry L. Wiley ◽  
David J. Lilly
Keyword(s):  
Hearing Loss ◽  
Adaptation Process ◽  
Temporal Characteristics ◽  
Nerve Tumor ◽  
Auditory Adaptation ◽  
Associated Lesions ◽  
Temporal Features ◽  
The Right ◽  
Adaptation Processes

Auditory-adaptation, or tone-decay, measurements are reported for a patient with an 8th-nerve tumor in the left ear and a sensorineural hearing loss of cochlear origin in the right ear. Data for the patient suggested that the temporal features of auditory adaptation were more effective in differentiating adaptation processes for the two ears and associated lesions than was the magnitude classification of auditory adaptation in dB for the two ears. It is recommended that tests of auditory adaptation include an analysis of the temporal characteristics of the adaptation process.

AUTOMATED METHODS IN CLUSTERED MICROCALCIFICATIONS DETECTION MODULE OF A CAD SYSTEM

2003 ◽  
Vol 03 (03n04) ◽  
pp. 247-260 ◽  
Author(s):  
WAN MIMI DIYANA ◽  
ROSLI BESAR
Keyword(s):  
Fractal Analysis ◽  
Morphological Processing ◽  
Adaptive Wavelet ◽  
Local Maxima ◽  
Cad System ◽  
Adaptive Wavelet Transform ◽  
High Order Statistics ◽  
Automated Methods ◽  
Aided Diagnosis

Defining region of interests (ROIs) containing abnormal lesions on digital mammograms is the first step in many Computer-Aided-Diagnosis (CAD) systems for the classification of early signs of breast cancer as malignant or benign. The motivation of this paper is to study the efficiency of automated methods used in clustered microcalcifications (MCCs) detection module of a proposed CAD system. The proposed methods are based on several image processing concepts, such as morphological processing, fractal analysis, adaptive wavelet transform, local maxima detection and high-order statistics (HOS) tests. We applied these methods on a set of MIAS database mammograms. The mammograms consisted of two groups, which were cancerous (clustered MCCs) and non-cancerous (normal) and they were digitized at a size of 1024 by 1024 with 256 gray levels. The results showed that the efficiency of HOS test, fractal analysis and morphological approach were 99%, 92% and 74%, respectively. It was proven that the HOS test was the most efficient, and gave reliable results for every mammogram tested.

scholarly journals AUTOMATIC CLASSIFICATION OF TREES FROM LASER SCANNING POINT CLOUDS

2015 ◽  
Vol II-3/W5 ◽  
pp. 137-144 ◽  
Author(s):  
B. Sirmacek ◽  
R. Lindenbergh
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Point Clouds ◽  
Detection Methods ◽  
Local Maxima ◽  
Advantages And Disadvantages ◽  
Close Proximity ◽  
Point Density ◽  
Grid Surface

Development of laser scanning technologies has promoted tree monitoring studies to a new level, as the laser scanning point clouds enable accurate 3D measurements in a fast and environmental friendly manner. In this paper, we introduce a probability matrix computation based algorithm for automatically classifying laser scanning point clouds into ’tree’ and ’non-tree’ classes. Our method uses the 3D coordinates of the laser scanning points as input and generates a new point cloud which holds a label for each point indicating if it belongs to the ’tree’ or ’non-tree’ class. To do so, a grid surface is assigned to the lowest height level of the point cloud. The grids are filled with probability values which are calculated by checking the point density above the grid. Since the tree trunk locations appear with very high values in the probability matrix, selecting the local maxima of the grid surface help to detect the tree trunks. Further points are assigned to tree trunks if they appear in the close proximity of trunks. Since heavy mathematical computations (such as point cloud organization, detailed shape 3D detection methods, graph network generation) are not required, the proposed algorithm works very fast compared to the existing methods. The tree classification results are found reliable even on point clouds of cities containing many different objects. As the most significant weakness, false detection of light poles, traffic signs and other objects close to trees cannot be prevented. Nevertheless, the experimental results on mobile and airborne laser scanning point clouds indicate the possible usage of the algorithm as an important step for tree growth observation, tree counting and similar applications. While the laser scanning point cloud is giving opportunity to classify even very small trees, accuracy of the results is reduced in the low point density areas further away than the scanning location. These advantages and disadvantages of two laser scanning point cloud sources are discussed in detail.

Functional classification of neurons of the cat inferior colliculus on the basis of temporal characteristics

1970 ◽  
Vol 1 (2) ◽  
pp. 105-112
Author(s):  
G. V. Gershuni ◽  
Ya. A. Al'tman ◽  
I. A. Vartanyan ◽  
A. M. Maruseva ◽  
E. A. Radionova ◽  
...  
Keyword(s):  
Inferior Colliculus ◽  
Functional Classification ◽  
Temporal Characteristics

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Long-term Cyclic Variations of Prominences, Green and Red Coronae over Solar Cycles

2000 ◽  
Vol 179 ◽  
pp. 201-204
Author(s):  
Vojtech Rušin ◽  
Milan Minarovjech ◽  
Milan Rybanský
Keyword(s):  
Emission Lines ◽  
High Latitudes ◽  
Green Line ◽  
Solar Cycles ◽  
The South ◽  
Coronal Emission ◽  
Local Maxima ◽  
The North ◽  
Cyclic Variations

AbstractLong-term cyclic variations in the distribution of prominences and intensities of green (530.3 nm) and red (637.4 nm) coronal emission lines over solar cycles 18–23 are presented. Polar prominence branches will reach the poles at different epochs in cycle 23: the north branch at the beginning in 2002 and the south branch a year later (2003), respectively. The local maxima of intensities in the green line show both poleward- and equatorward-migrating branches. The poleward branches will reach the poles around cycle maxima like prominences, while the equatorward branches show a duration of 18 years and will end in cycle minima (2007). The red corona shows mostly equatorward branches. The possibility that these branches begin to develop at high latitudes in the preceding cycles cannot be excluded.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

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