In single domain generalization, the model is trained on a single source domain and requires being generalized to multiple unseen target domains. However, the presence of domain discrepancies poses a significant threa...
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this paper examines the Code-Switching (CS) phenomenon where two languages intertwine within a single utterance. there exists a noticeable need for research on the CS between English and Korean. We highlight...
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Predicting pathologic complete response in non-small cell lung cancer is crucial for tailoring effective treatment strategies and to improve patient outcomes. Withthe increasing application of artificial intelligence...
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the 4D auto-labeling system, with its potential to enhance data annotation efficiency for 3D object detection, has garnered significant attention. However, its adoption has been hampered by the high costs associated w...
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Digital Subtraction Angiography (DSA) is a well-established imaging modality supporting treatment and diagnosis of vascular pathologies. Various clinical DSA acquisition protocols exist that provide qualitative blood ...
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Image steganography become one of the important fields of cybersecurity. It studies the potential of multimedia security in order to protect confidential information In general. In specific, it belongs to information ...
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ISBN:
(数字)9798350353839
ISBN:
(纸本)9798350353846
Image steganography become one of the important fields of cybersecurity. It studies the potential of multimedia security in order to protect confidential information In general. In specific, it belongs to information hiding. However, Image steganography process results in stego images. In this study, two main experiments of image steganography detectability without using classifier with help of Image Processing, Image Quality, Feature Extraction, and Significant Statistical Measure. Several features involves one or many parameters that help to study experimental images. For example: Image histogram, Detection line, Structural Similarity Index Measures (SSIM), And Sum of Arrays Index (Sums). Although, It study the functionality of Image features to highlight the process of its detectability.
the proceedings contain 75 papers. the topics discussed include: Bayesian approach to the patternrecognition problem in nonstationary environment;the classification of noisy sequences generated by similar HMMs;solvin...
ISBN:
(纸本)9783642217852
the proceedings contain 75 papers. the topics discussed include: Bayesian approach to the patternrecognition problem in nonstationary environment;the classification of noisy sequences generated by similar HMMs;solving the structure-property problem using k-NN classification;wavelet-based clustering of social-network users using temporal and activity profiles;an improvement of dissimilarity-based classifications using SIFT algorithm;discrete circular mapping for computation of Zernike moments;SATCLUS: an effective clustering technique for remotely sensed images;principle and method of image recognition under diffusive distortions of image;shape descriptor based on the volume of transformed image boundary;automatic adductors angle measurement for neurological assessment of post-neonatal infants during follow up;and moving objects detection from video sequences using fuzzy edge incorporated Markov random field modeling and local histogram matching.
the proceedings contain 68 papers. the topics discussed include: incremental classification rules based on association rules using formal concept analysis;finite mixture models with negative components;principles of m...
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ISBN:
(纸本)3540269231
the proceedings contain 68 papers. the topics discussed include: incremental classification rules based on association rules using formal concept analysis;finite mixture models with negative components;principles of multi-kernel data mining;a comprehensible SOM-based scoring system;linear manifold clustering;clustering document images using graph summaries;unsupervised learning of visual feature hierarchies;a new multidimensional feature transformation for linear classifiers and its applications;embedding time series data for classification;statistical supports for frequent itemsets on data streams;neural expert model applied to phonemes recognition;and signature-based approach for intrusion detection.
these conference proceedings contain 228 papers of which 4 appear as abstracts. Two hundred-twelve papers are indexed separately. Topics covered include: statistical methods;cluster analysis;syntactic methods;learning...
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these conference proceedings contain 228 papers of which 4 appear as abstracts. Two hundred-twelve papers are indexed separately. Topics covered include: statistical methods;cluster analysis;syntactic methods;learning algorithms;perceptual modeling;theoretical problems;image restoration and transformation;texture, region and shape;feature extraction and picture description;analysis of image sequence;scene analysis;character recognition;biomedical applications;remote sensing;industrial applications;speech;and special hardwares and systems.
In the fast-fashion industry, overproduction and unsold inventory create significant environmental problems. Precise sales forecasts for unreleased items could drastically improve the efficiency and profits of industr...
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