Combining Classifiers: from the creation of ensembles - ICMC
... • training data manipulation: training an ensemble of classifiers using different training sets by splitting [11], by using cross-validation ensembles (used with small subsets) [13], bagging [22] and boosting [23]. • input features manipulation: training an ensemble of classifiers using different su ...
... • training data manipulation: training an ensemble of classifiers using different training sets by splitting [11], by using cross-validation ensembles (used with small subsets) [13], bagging [22] and boosting [23]. • input features manipulation: training an ensemble of classifiers using different su ...
Ancient Tamil Script Recognition from Stone Inscriptions Using Slant
... characters whilst the white pixels are used to represent background. A. Core-region Detection Our approach is based on enhanced horizontal density histogram embedded with quantile features to detect core region of stone inscription images. Quantiles are points taken at regular intervals from the cum ...
... characters whilst the white pixels are used to represent background. A. Core-region Detection Our approach is based on enhanced horizontal density histogram embedded with quantile features to detect core region of stone inscription images. Quantiles are points taken at regular intervals from the cum ...
Robust Continuous Collision Detection Between
... spaces in between stacked objects. On the other hand, late detection of collisions may cause objects to interpenetrate or overlap which causes rendering artifacts such as Z-fighting where rendered pixels on screen rapidly change color as the view point changes gradually. Not only accuracy, but also ...
... spaces in between stacked objects. On the other hand, late detection of collisions may cause objects to interpenetrate or overlap which causes rendering artifacts such as Z-fighting where rendered pixels on screen rapidly change color as the view point changes gradually. Not only accuracy, but also ...
Computational Intelligence in Intrusion Detection System
... Intrusion detection system (IDS) is a major research problem in network security, its goal is to dynamically identify unusual access or attacks to secure the networks. Network intrusion detection systems (NIDS) is a valuable tool for the defense in depth of computer networks. It looks for known or p ...
... Intrusion detection system (IDS) is a major research problem in network security, its goal is to dynamically identify unusual access or attacks to secure the networks. Network intrusion detection systems (NIDS) is a valuable tool for the defense in depth of computer networks. It looks for known or p ...
Following non-stationary distributions by controlling the
... sudden change. So the challenge is to exploit the properties of algorithms like GNG, while controlling the additions and removals of neurons, in order to stick to the changes in the distribution. This requires computing some kind of statistics for each prototype, in order to detect when it needs to ...
... sudden change. So the challenge is to exploit the properties of algorithms like GNG, while controlling the additions and removals of neurons, in order to stick to the changes in the distribution. This requires computing some kind of statistics for each prototype, in order to detect when it needs to ...
Fast Visualization of Object Contours by Non
... high intensity pixel there are several high opacity samples along the corresponding viewing ray resulting in high accumulated opacity. Therefore, the fine details are less visible. This version is appropriate for data sets which contain many high frequency regions. In this case only the main charact ...
... high intensity pixel there are several high opacity samples along the corresponding viewing ray resulting in high accumulated opacity. Therefore, the fine details are less visible. This version is appropriate for data sets which contain many high frequency regions. In this case only the main charact ...
Ms.-Vishakha-R.-Bhadane-el-al
... identification and recognition system. The system consists of three main parts; are image acquisition, image processing and "identification". The fingerprint images captured sensor format and stored in the database in the process of image acquisition. This image is the commitment to share 500 DPI. T ...
... identification and recognition system. The system consists of three main parts; are image acquisition, image processing and "identification". The fingerprint images captured sensor format and stored in the database in the process of image acquisition. This image is the commitment to share 500 DPI. T ...
On Constrained Optimization Approach to Object
... from the interior, as applied to image segmentation, would provide an invaluable insight in distinguishing the connected segments. For instance, if many seeds grow into many plants, any leaf in dense foliage can still be traced to its own stem, even when the connection to its origin may be obscured ...
... from the interior, as applied to image segmentation, would provide an invaluable insight in distinguishing the connected segments. For instance, if many seeds grow into many plants, any leaf in dense foliage can still be traced to its own stem, even when the connection to its origin may be obscured ...
Nonparametric Curve Extraction Based on Ant Colony System Qing Tan Qing He
... sensing images and other crack detection, curve equations are usually not known a priori before recognition. HT methods do not work in these situations. Extracting curves from a binary image means to select a subset of pixels (real target pixels) from all nonzero pixels. So every pixel sequence can ...
... sensing images and other crack detection, curve equations are usually not known a priori before recognition. HT methods do not work in these situations. Extracting curves from a binary image means to select a subset of pixels (real target pixels) from all nonzero pixels. So every pixel sequence can ...
Predicting Classifier Combinations
... lead to the following issues: If multiple combinations achieve the highest accuracy, the label includes only one of them and predicting any other combination with the same accuracy will lead to an error. Also, predicting a sub-optimal combination with only a slightly decreased accuracy as compared t ...
... lead to the following issues: If multiple combinations achieve the highest accuracy, the label includes only one of them and predicting any other combination with the same accuracy will lead to an error. Also, predicting a sub-optimal combination with only a slightly decreased accuracy as compared t ...
Learning Visual Representations for Perception
... We evaluated our system on an abstract task that closely parallels a real-world, reactive navigation scenario (Fig. 3). The goal of the agent is to reach one of the two exits of the maze as fast as possible. The set of possible locations is continuous. At each location, the agent has four possible a ...
... We evaluated our system on an abstract task that closely parallels a real-world, reactive navigation scenario (Fig. 3). The goal of the agent is to reach one of the two exits of the maze as fast as possible. The set of possible locations is continuous. At each location, the agent has four possible a ...
Action Classification Using Sequence Alignment and Shape Context and Eraldo Ribeiro
... for large variations in both pose appearance and motion dynamics that are inherent to human actions. When accounting for motion dynamics, current action-classification methods use motion descriptors based on clustered pixel inter-frame motion (i.e., optical flow) or motion curves of tracked regions ...
... for large variations in both pose appearance and motion dynamics that are inherent to human actions. When accounting for motion dynamics, current action-classification methods use motion descriptors based on clustered pixel inter-frame motion (i.e., optical flow) or motion curves of tracked regions ...
Analysis of Machine Learning Techniques for Intrusion Detection
... Intrusions. There are many machine learning techniques used in Intrusion Detection System and they comprised single, hybrid and ensemble classifiers. Many resources have been used on various machine learning techniques. These techniques work very well for IDS but it is known that there is not even a ...
... Intrusions. There are many machine learning techniques used in Intrusion Detection System and they comprised single, hybrid and ensemble classifiers. Many resources have been used on various machine learning techniques. These techniques work very well for IDS but it is known that there is not even a ...
An Analytical Study of the Remote Sensing Image Classification
... Firefly Algorithm etc. Swarm Intelligence is a global research area to improve the optimization of various soft computing and nature inspired techniques. In this paper, we are using these swarm intelligence based techniques for the accurately classification of land cover features. For this classific ...
... Firefly Algorithm etc. Swarm Intelligence is a global research area to improve the optimization of various soft computing and nature inspired techniques. In this paper, we are using these swarm intelligence based techniques for the accurately classification of land cover features. For this classific ...
A Stochastic Algorithm for Feature Selection in Pattern Recognition
... discriminant properties . In a recent work of Fleuret (2004), the author suggests to use mutual information to recursively select features and obtain performance as good as that obtained with a boosting algorithm (Friedman et al., 2000) with fewer variables. Weston et al. (2000) and Chapelle et al. ...
... discriminant properties . In a recent work of Fleuret (2004), the author suggests to use mutual information to recursively select features and obtain performance as good as that obtained with a boosting algorithm (Friedman et al., 2000) with fewer variables. Weston et al. (2000) and Chapelle et al. ...
An Information Theoretic Approach to Reflectional Symmetry Detection
... Seldom does symmetry occur by accident. If two regions are symmetric it is highly probable that these regions are related in the real world, or even that they belong to the same object. Therefore, by detecting symmetry it is possible to start grouping or segmenting the image without prior knowledge ...
... Seldom does symmetry occur by accident. If two regions are symmetric it is highly probable that these regions are related in the real world, or even that they belong to the same object. Therefore, by detecting symmetry it is possible to start grouping or segmenting the image without prior knowledge ...
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
... image was not used then the features of the same leaf vary with different sizes images. Since, it was the same leaf, the value of all the features were expected to be same. The values for these features vary for different scaled versions of the same leaf image. In this research, features used were s ...
... image was not used then the features of the same leaf vary with different sizes images. Since, it was the same leaf, the value of all the features were expected to be same. The values for these features vary for different scaled versions of the same leaf image. In this research, features used were s ...
Local Scale Control for Edge Detection and Blur Estimation
... decreases with time (smoothing), above which the gradient increases with time (edge enhancement). Unfortunately, there is no principled way of choosing this threshold even for a single image, since important edges generate a broad range of gradients, determined by contrast and degree of blur. Sensor ...
... decreases with time (smoothing), above which the gradient increases with time (edge enhancement). Unfortunately, there is no principled way of choosing this threshold even for a single image, since important edges generate a broad range of gradients, determined by contrast and degree of blur. Sensor ...
Preparation of Papers in Two-Column Format for
... algorithm. A two layered feed-forward neural network created is then used as a classifying tool for the input images. The consistency of the results is demonstrated by the median value. The performance achieved here is 82%. The method is not able to treat situations when the eyes are closed. Strong ...
... algorithm. A two layered feed-forward neural network created is then used as a classifying tool for the input images. The consistency of the results is demonstrated by the median value. The performance achieved here is 82%. The method is not able to treat situations when the eyes are closed. Strong ...
Intrusion detection using clustering
... S. Otherwise the cluster which gives minimum distance between the data point and the cluster is found, next the distance is compared the result with the cluster radius threshold, if it is less than the defined threshold then the data point is added to the cluster otherwise new cluster is created wit ...
... S. Otherwise the cluster which gives minimum distance between the data point and the cluster is found, next the distance is compared the result with the cluster radius threshold, if it is less than the defined threshold then the data point is added to the cluster otherwise new cluster is created wit ...
Using Natural Image Priors
... Figure 1.2: Left: The energy function defined over derivative outputs that was learned by Zhu and Mumford [17]. Right: The potential function e−E(x) . The blue curves show the original function and the red curves are approximations as a mixture of 50 Gaussians. In this work we use this mixture appro ...
... Figure 1.2: Left: The energy function defined over derivative outputs that was learned by Zhu and Mumford [17]. Right: The potential function e−E(x) . The blue curves show the original function and the red curves are approximations as a mixture of 50 Gaussians. In this work we use this mixture appro ...
Survey on Remotely Sensed Image Classification
... problem effectively when converting the qualitative case to quantitative ones. The example study shows that the SVMFAHP model is feasible and effective. The research can provide decision-making for enterprises to select 3PL providers. Giorgos Mountrakis, Jungho Im, Caesar Ogole [5] studied a wide ra ...
... problem effectively when converting the qualitative case to quantitative ones. The example study shows that the SVMFAHP model is feasible and effective. The research can provide decision-making for enterprises to select 3PL providers. Giorgos Mountrakis, Jungho Im, Caesar Ogole [5] studied a wide ra ...
Intrusion Detection using Fuzzy Clustering and Artificial Neural
... This paper presents the outline of a hybrid Artificial Neural Network (ANN) based on fuzzy clustering and neural networks for an Intrusion Detection System (IDS). While neural networks are effective in capturing the non-linearity in data provided, it also has certain limitations including the requir ...
... This paper presents the outline of a hybrid Artificial Neural Network (ANN) based on fuzzy clustering and neural networks for an Intrusion Detection System (IDS). While neural networks are effective in capturing the non-linearity in data provided, it also has certain limitations including the requir ...
Painting-to-3D Model Alignment Via Discriminative Visual
... matching was also used for aligning paintings to 3D meshes reconstructed from photographs [Russell et al. 2011]. However, contours extracted from paintings and real-world 3D meshes obtained from photographs are noisy. As a result, the method requires a good initialization with a close-by viewpoint. ...
... matching was also used for aligning paintings to 3D meshes reconstructed from photographs [Russell et al. 2011]. However, contours extracted from paintings and real-world 3D meshes obtained from photographs are noisy. As a result, the method requires a good initialization with a close-by viewpoint. ...
Distractor Quality Analyze In Multiple Choice Questions
... object-oriented programming language" and "byte code" to the document image of article A, considering them synonymous with the keyword "java". The same rule applies to other keywords: If they have synonyms, then all they need to be added in the document image. But there is another way. Its essence i ...
... object-oriented programming language" and "byte code" to the document image of article A, considering them synonymous with the keyword "java". The same rule applies to other keywords: If they have synonyms, then all they need to be added in the document image. But there is another way. Its essence i ...