Automatic facial pattern extraction from color images using knowledge-based multistep filtering technique

1995 ◽  
Author(s):  
Demas S. Sanger ◽  
Hideaki Haneishi ◽  
Yoichi Miyake
Keyword(s):  
Color Images ◽  
Pattern Extraction ◽  
Knowledge Based ◽  
Facial Pattern ◽  
Filtering Technique

scholarly journals Retrieval of source documents in a text reuse system

2020 ◽  
Vol 8 (2) ◽  
pp. 140-149
Author(s):  
Nathaniel Clarence Haryanto ◽  
Lucia Dwi Krisnawati ◽  
Antonius Rachmat Chrismanto
Keyword(s):  
Text Analysis ◽  
Retrieval System ◽  
Detection System ◽  
Recall Rate ◽  
Accuracy Rate ◽  
Term Weighting ◽  
Knowledge Based ◽  
Filtering Technique ◽  
Different Levels ◽  
Source Retrieval

The architecture of the text-reuse detection system consists of three main modules, i.e., source retrieval, text analysis, and knowledge-based postprocessing. Each module plays an important role in the accuracy rate of the detection outputs. Therefore, this research focuses on developing the source retrieval system in cases where the source documents have been obfuscated in different levels. Two steps of term weighting were applied to get such documents. The first was the local-word weighting, which has been applied to the test or reused documents to select query per text segments. The tf-idf term weighting was applied for indexing all documents in the corpus and as the basis for computing cosine similarity between the queries per segment and the documents in the corpus. A two-step filtering technique was applied to get the source document candidates. Using artificial cases of text reuse testing, the system achieves the same rates of precision and recall that are 0.967, while the recall rate for the simulated cases of reused text is 0.66.

scholarly journals On the application of the reachability distance in the suppression of mixed Gaussian and impulsive noise in color images

2020 ◽  
Vol 79 (43-44) ◽  
pp. 32857-32879
Author(s):  
Bogdan Smolka ◽  
Damian Kusnik
Keyword(s):  
Impulsive Noise ◽  
Weighted Average ◽  
Color Images ◽  
Denoising Method ◽  
Filtering Technique ◽  
Processing Block ◽  
Image Edges ◽  
Novel Concept ◽  
Noise Contamination ◽  
Impulsive Noise Reduction

Abstract In this paper, we address the problem of mixed Gaussian and impulsive noise reduction in color images. A robust filtering technique is proposed, which is utilizing a novel concept of pixels dissimilarity based on the reachability distance. The structure of the denoising method requires the estimation of the impulsiveness of each pixel in the processing block using the introduced local reachability concept. Furthermore, we determine the similarity of each pixel in the block to the central patch consisting of the processed pixel and its neighbors. Both measures are calculated as an average of modified reachability distances to the most similar pixels of the central patch and the final filtering output is a weighted average of all pixels belonging to the processing block. The proposed technique was compared with widely used filtering methods and the performed experiments proved its satisfying denoising properties. The introduced filtering design is insensitive to outliers and their clusters introduced by the impulsive noise process, preserves details and is able to efficiently suppress the Gaussian noise while enhancing the image edges. Additionally, we proposed a method which estimates the noise contamination intensity, so that the proposed filter is able to adaptively tune its parameters.

scholarly journals The Specification of Requirements in the MADAE-Pro Software Process

2010 ◽  
Vol 3 (1) ◽  
Author(s):  
Rosario Girardi ◽  
Adriana Leite
Keyword(s):  
Tax Law ◽  
Software Artifacts ◽  
Knowledge Based ◽  
First Case ◽  
Multi Agent ◽  
Filtering Technique ◽  
Application Engineering ◽  
Application Requirements ◽  
Content Based Filtering

MADAE-Pro is an ontology-driven process for multi-agent domain and application engineering which promotes the construction and reuse of agent-oriented applications families. This article introduces MADAE-Pro, emphasizing the description of its domain analysis and application requirements engineering phases and showing how software artifacts produced from the first are reused in the last one. Illustrating examples are extracted from two case studies we have conducted to evaluate MADAE-Pro. The first case study assesses the Multi-Agent Domain Engineering sub-process of MADAE-Pro through the development of a multi-agent system family of recommender systems supporting alternative (collaborative, content-based and hybrid) filtering techniques. The second one, evaluates the Multi-Agent Application Engineering sub-process of MADAE-Pro through the construction of InfoTrib, a Tax Law recommender system which provides recommendations based on new tax law information items using a content-based filtering technique. ONTOSERS and InfoTrib were modeled using ONTORMAS, a knowledge-based tool for supporting and automating the tasks of MADAEPro.

Is the Personal Always Political?

2017 ◽  
Vol 38 (3) ◽  
pp. 133-143 ◽  
Author(s):  
Danny Osborne ◽  
Yannick Dufresne ◽  
Gregory Eady ◽  
Jennifer Lees-Marshment ◽  
Cliff van der Linden
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Negative Relationship ◽  
Openness To Experience ◽  
Political Sophistication ◽  
Knowledge Based

Abstract. Research demonstrates that the negative relationship between Openness to Experience and conservatism is heightened among the informed. We extend this literature using national survey data (Study 1; N = 13,203) and data from students (Study 2; N = 311). As predicted, education – a correlate of political sophistication – strengthened the negative relationship between Openness and conservatism (Study 1). Study 2 employed a knowledge-based measure of political sophistication to show that the Openness × Political Sophistication interaction was restricted to the Openness aspect of Openness. These studies demonstrate that knowledge helps people align their ideology with their personality, but that the Openness × Political Sophistication interaction is specific to one aspect of Openness – nuances that are overlooked in the literature.

Connectives Increase Knowledge-Based Inferences

1994 ◽  
Author(s):  
Gregory Barker ◽  
Keith Millis ◽  
Jonathan M. Golding
Keyword(s):  
Knowledge Based
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