Showing 1-25 of 3,753 resultsfor "Index Terms":Similar Techniques
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F-ratio Based Weighted Feature Extraction for Similar Shape Character Recognition
Tetsushi Wakabayashi;Umapada Pal;Fumitaka Kimura;Yasuji Miyake
2009 10th International Conference on Document Analysis and Recognition
Year: 2009 | Conference Paper |
Cited by: Papers (23)
Recognition of handwritten similar shaped character is a difficult problem and in character recognition system most of the errors occur from similar shaped characters. In this paper we proposed a novel feature extraction technique to improve the recognition results of two similar shaped characters. The technique is based on F-ratio (Fisher Ratio), a statistical measure defined by the ratio to the ...Show More
A survey of clustering techniques and algorithms
2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom)
Year: 2015 | Conference Paper |
Cited by: Papers (3)
Clustering is used data mining technique in which a group of similar objects is combined together to form clusters, these clusters are different from the objects in another clusters. This paper describes some clusterization techniques like, partitional technique, hierarchical technique, grid-based technique, density-based technique and their algorithms. Partitional method divides the data set into...Show More
Developing Trends in Aptamer-Based Biosensor Devices and Their Applications
Aptamers are, in general, easier to produce, easier to store and are able to bind to a wider variety of targets than antibodies. For these reasons, aptamers are gaining increasing popularity in environmental monitoring as well as disease detection and disease management applications. This review article examines the research and design of RNA and DNA aptamer based biosensor systems and application...Show More
Solving Cold Start Problem for Recommendation System Using Content-Based Filtering
2022 International Conference on Computer Technologies (ICCTech)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
A recommendation system is an effective supporting tool for a user to obtain the relevant result and avoid information overloading. However, the user cold-start problem has occurred when the system does not have adequate information about the user. In this project, we propose a content-based filtering method that applies the movie genres for finding the similarities among movies. We use the Term F...Show More
Tomographic Vp and Vs structure of the California Central Coast Ranges, in the vicinity of SAFOD, from controlled-source seismic data
A seismic reflection/refraction survey across the San Andreas fault near Parkfield, California, has refined our knowledge of the upper crustal structure of the central California Coast Ranges at the San Andreas Fault Observatory at Depth (SAFOD). The survey consisted of a 46-km-long line of seismographs (25–50 m spacing) and 63 explosions (25–200 kg; nominal spacing of 500 m, with some gaps). The ...Show More
Content Distribution Technique with in Virtual Organization(VO) based peering CONTENT Delivery Network
2010 The 12th International Conference on Advanced Communication Technology (ICACT)
Year: 2010 | Conference Paper |
Cited by: Patents (1)
Content Delivery Network (CDN) is a system where computers networked together across the Internet. Contents (especially large media content) are replicated from the origin server to cache servers scattered over the world in order to deliver content to end users in a reliable and timely manner. Cooperation and coordination among them can solve many problems of a particular CDN and is achieved by Vi...Show More
In-air handwritten Chinese character recognition using multi-stage classifier based on adaptive discriminative locality alignment
2015 IEEE International Conference on Image Processing (ICIP)
Year: 2015 | Conference Paper |
Cited by: Papers (3)
The in-air handwriting is a natural and useful way for human-computer interaction. Yet, to our knowledge, few work has been done for the in-air handwritten Chinese character recognition (IAHCCR). In this paper, we present a multi-stage recognizer to address the problem of IAHCCR. The proposed methods can also deal with the classical handwritten Chinese character recognition (HCCR). We find that th...Show More
Copy Move Forgery using Hu's Invariant Moments and Log-Polar Transformations
2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
With the increase in interchange of data, there is a growing necessity of security. Considering the volumes of digital data that is transmitted, they are in need to be secure. Among the many forms of tampering possible, one widespread technique is Copy Move Forgery (CMF). This forgery occurs when parts of the image are copied and duplicated elsewhere in the same image. There exist a number of algo...Show More
StyleBusters: Protecting the intellectual property rights of designers using deep learning techniques
Walid Mohamed;Sherif Wael;Abdelrahman Hesham;Adham Moataz;Mahmoud ElSahhar;Fatma H. Ismail
2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Intellectual property rights are the legal rights that protect the creations of an owner's mind, such as inventions, artistic works, and designs. Designers play a crucial role in the creative industry, and intellectual property rights ensure that their designs are protected from infringement by others. As such, designers can control how their designs are used and monetized. In this paper, we have ...Show More
A New Two-Stage Scheme for the Recognition of Persian Handwritten Characters
2010 12th International Conference on Frontiers in Handwriting Recognition
Year: 2010 | Conference Paper |
Cited by: Papers (10)
In this paper, a two-stage scheme for the recognition of Persian handwritten isolated characters is proposed. In the first stage, similar shaped characters are categorized into groups and as a result, 8 groups are obtained from 32 Persian basic characters. In the second stage, the groups containing more than one similar shape characters are considered further for the final recognition. Feature ext...Show More
Addresses the problem of similar-shape retrieval, where shapes or images in a shape database that satisfy specified shape-similarity constraints with respect to the query shape or image must be retrieved from the database. In its simplest form, the similar-shape retrieval problem can be stated as, "retrieve or select all shapes or images that are visually similar to the query shape or the query im...Show More
Image segmentation using graph cut technique for outdoor scene images
2013 International Conference on Communication and Signal Processing
Year: 2013 | Conference Paper |
Cited by: Papers (1)
This paper proposes an outdoor scene image segmentation using graph cut method based on their color information. The basic aim is to differentiate the background (such as sky, ground, vegetation etc) and foreground (such as buildings people etc) of the outdoor scene images based on their color and texture information. This paper shows the comparison of results obtained using graph cut method, grap...Show More
CFS Based Feature Subset Selection for Enhancing Classification of Similar Looking Food Grains- A Filter Approach
2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT)
Year: 2017 | Conference Paper |
Cited by: Papers (9)
Feature selection plays an important role in machine learning. The best selection of significant feature set results in better performance of classifiers. In this work feature selection using filter approach for classification of 10 different similar looking food grains has been carried out. As part of the work, firstly texture features of food grain images are extracted using color based GLCM. As...Show More
Measuring the Variation in Task-Needs for Knowledge Delivery: A Profiling via Collaboration Technique
2007 International Conference on Machine Learning and Cybernetics
Year: 2007 | Conference Paper |
Effective knowledge management (KM) in a knowledge-intensive working environment requires an understanding of workers' information needs for tasks, (task-needs), so that they can be provided with appropriate codified knowledge (textual documents) when performing long-term tasks. This work proposes a novel profiling technique based on implicit relevance feedback and collaborative filtering techniqu...Show More
3-d Bathymetric Imaging: State Of The Art
Conference Proceedings on Engineering in the Ocean Environment
Year: 1990 | Conference Paper |
First Page of the Article
Show MoreVisualization techniques for mining large databases: a comparison
Visual data mining techniques have proven to be of high value in exploratory data analysis, and they also have a high potential for mining large databases. In this article, we describe and evaluate a new visualization-based approach to mining large databases. The basic idea of our visual data mining techniques is to represent as many data items as possible on the screen at the same time by mapping...Show More
The feature combination technique for off-line Thai character recognition system
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Year: 2005 | Conference Paper |
Cited by: Papers (10)
This paper proposes an off-line Thai character recognition system for an unconstrained writing. This system combines both global feature, that represents character shape, and local feature, that represents the symbolic structure, to solve the similarity and variety problems of Thai characters. The pixel distribution is applied, as the global feature, to classify the image into 20 groups of similar...Show More
Toward a Deeper Understanding of the Role of Interaction in Information Visualization
Even though interaction is an important part of information visualization (Infovis), it has garnered a relatively low level of attention from the Infovis community. A few frameworks and taxonomies of Infovis interaction techniques exist, but they typically focus on low-level operations and do not address the variety of benefits interaction provides. After conducting an extensive review of Infovis ...Show More
Automatic question generation is a technique that generates a question from various sources like structured or unstructured content. Even if, each method has its own shortcoming and strength, we didn’t find any study that did an experimental comparison of the current automatic question generation techniques using a similar dataset. In this study, we analyzed the different state-of-the-art research...Show More
Improved Object Categorization and Detection Using Comparative Object Similarity
Due to the intrinsic long-tailed distribution of objects in the real world, we are unlikely to be able to train an object recognizer/detector with many visual examples for each category. We have to share visual knowledge between object categories to enable learning with few or no training examples. In this paper, we show that local object similarity information--statements that pairs of categories...Show More
Using Ensemble Approaches and Different Sampling Techniques to Handle Class Imbalance Challenges in Coronary Heart Disease Prediction
Muntarin Rahman;Md Istakiak Adnan Palash;Marufa Sultana Sumi;Muntasir Rahman;Md Jaber Al Nahian
2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Coronary Heart Disease (CHD) has a significant impact on death rates worldwide; therefore, early and accurate prediction is vital for enhancing timely prevention and improving patient outcomes. However, predicting CHD is challenging because of the imbalanced nature of the dataset. A number of sampling techniques are proposed to overcome this challenge, including random oversampling, undersampling,...Show More
Combining Analytical Modeling and Learning to Simplify Dexterous Manipulation With Adaptive Robot Hands
In this paper, we focus on the formulation of a hybrid methodology that combines analytical models, constrained optimization schemes, and machine learning techniques to simplify the execution of dexterous, in-hand manipulation tasks with adaptive robot hands. More precisely, the constrained optimization scheme is used to describe the kinematics of adaptive hands during the grasping and manipulatio...Show More
Millennium simulation dark matter haloes: multifractal and lacunarity analysis and the transition to homogeneity
We investigate from a fractal viewpoint the way in which dark matter is grouped at z = 0 in the Millennium dark matter cosmological simulation. Determination of the crossing point to homogeneity in the Millennium Simulation data is described with regard to the behaviour of the fractal dimension and lacunarity. We use the sliding-window technique to calculate the fractal mass–radius dimension, the ...Show More
DASSL: Dynamic, AI-assisted, Scalable System for Labelling Used Bottle Images
2020 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G)
Year: 2020 | Conference Paper |
To ensure sustainable consumption and production, one way is to reduce waste generation by increasing the reuse rate. We have been working with the bottle classification facility to enhance the efficiency and productivity. Many used bottles come in with unimaginable ways of dirty, defective conditions. To manage the sheer volume of used bottles, we create an AI-enabled, bottle classification syste...Show More
Performance Assessment of Time–Frequency RFI Mitigation Techniques in Microwave Radiometry
Jorge Querol;Raul Onrubia;Alberto Alonso-Arroyo;Daniel Pascual;Hyuk Park;Adriano Camps
Radio-frequency interference (RFI) signals are a well-known threat for microwave radiometry (MWR) applications. In order to alleviate this problem, different approaches for RFI detection and mitigation are currently under development. Since RFI signals are man made, they tend to have their power more concentrated in the time-frequency (TF) space as compared to naturally emitted noise. The aim of t...Show More
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