[PDF] Top 20 Object Recognition Technique based on Level Set Method and Neural Network
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Object Recognition Technique based on Level Set Method and Neural Network
... variational level set method has been applied to a variety of images from ALOI database in different ...the level set function to be close to a signed distance function, and therefore ... See full document
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A NOVEL TWO DIMENSIONAL SPECTRAL/SPATIAL HYBRID CODE FOR OPTICAL CODE DIVISION MULTIPLE ACCESS SYSTEM
... humans, based on the shape of their ...(SURF) technique is employed in an ear recognition method, which measures the similarity between the input ear image and the ear images of known ... See full document
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An efficient and high-resolution topology optimization method based on convolutional neural networks
... algorithmic level to the goal of maximizing design resolution at the acceptable ...of method for extracting implicit rules from a large amount of historical data, and its excellent generality comes from ... See full document
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Object Recognition System-on-Chip Using the Support Vector Machines
... promising neural network method, namely, the support vector machine (SVM) used for real-time object recognition, in order to build a vision ...any object recognition ... See full document
12
Quantum Ant Colony Optimizing Theory and Its Application in Fuzzy Pattern Recognition Method of Flatness
... pattern recognition method is proposed based on quantum ant colony ...BP neural network and fuzzy recognition method, the validity of quantum ant colony theory applied in ... See full document
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Optimized Face Recognition Technique based on PCA and RBF Neural Network
... machine recognition and computer vision, face recognition using optimized Radial Basis Function (RBF) Network is a very efficient solution for the researchers working in this ...face ... See full document
6
Text Dependent Speech based Biometric for Mobile Security
... The technique of DTW performed better for text dependent speaker recognition but since the method of template construction is inherently text dependent, is a drawback of ...speaker recognition ... See full document
6
A Sensorless Speed Estimation For Brushed Dc Motor At Start-Up
... sensorless method for estimating the speed of brushed dc motors at starting ...The method uses sensorless techniques based on the current ripple component at ...The method employs active ... See full document
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Analysis on Mean Time between Failures Based on Artificial Neural Network
... need recognition types, distribution models are likely to be categorized into four types: exponential, normal, lognormal, and WEIBULL ...distribution. Method of random simulation by MATLAB produces four ... See full document
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Neural networks for object recognition
... ve level multiresolution ...each object is determined, then a small number of points can be chosen within this ...a method where points are picked from concentric circles centred at the most salient ... See full document
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Face Recognition Technique using ICA and LBPH
... segmentation, object tracking, pattern recognition ...face recognition system using principle analysis with Back propagation neural network where features of face image has been ... See full document
5
An Efficient and Robust Multi Object Recognition and Tracking Algorithm using Mask Region based Convolution Neural Network (R CNN)
... these technique searches for the associating detections from a frame ...traditional network flow in the graph, each one of that respect to one target kind and follows the two target kinds at the same ... See full document
7
Research on Intention Recognition Method Based on Radial Basis Function Neural Network
... clustering method, as a common and effec- tive clustering method, can confirm the extension constant of hidden nodes on the basis of the distance among various clustering ...this method is that the K ... See full document
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Maximally Stable External Regions Based Object Recognition Technique Using Fuzzy Logic
... The fuzzy system provides objective results because they contain information from statistical sources and several human experts in contrast to manual analysis that is bias and can vary depending on the knowledge and ... See full document
7
Review on Financial Forecasting Using Neural Network and Data Mining Technique
... Segments a large set of data into subsets or clusters. Each cluster is a collection of data objects that are similar to one another within the same cluster but dissimilar to objects in other clusters. In other ... See full document
5
IRIS Recognition System using Neural Network and Genetic Algorithm
... are based on iris texture filtering, but they can vary ...phase-based method proposed by Daugman, which has been successfully used in the majority of available iris recognition ...this ... See full document
5
3D Convolutional Neural Network for Object Recognition
... volume based data, namely 3DShapeNets. 3DShapeNets used a Deep Belief Network to represent geometric 3D shapes as a probability distribu- tion of binary variables on a 3D voxel ...their method for ... See full document
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DEVELOPING A NEURAL NETWORK- BASED METHOD FOR FASTER FACE RECOGNITION BY TRAINING & SIMULATION
... face recognition. The different face recognition techniques can be classified into four categories: Eigen faces, feature- based, hidden Markova based model, and neural network ... See full document
10
Review On: Human Identification Using GAIT Recognition Technique with PAL and PAL Entropy and NN
... Gait recognition is one kind of biometric technology that can be used to monitor people without their ...gait recognition is the process of identifying an individual by the manner in which they ...new ... See full document
5
Artificial Intelligence Technique for Speech Recognition Based on Neural Networks
... speech recognition based on sophisticated ...a set of informative ...artificial neural networks, As a result; when building a signal processing system, the structure of the network ... See full document
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