novel feature
"A Novel Feature Based Approach for Indoor Monocular SLAM"
... a novel feature-based approach for the monocular SLAM problem using a hand-held camera in room-sized workspaces with a maximum scene depth of 4–5 ...natural feature points are easily ...
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A Novel Feature Reduction Method in Sentiment Analysis
... in feature space. The main task of feature selection and feature reduction is a reduction dimension in feature space while, at the same time, ensuring that is no loss in the minimum of ...a ...
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SIP-FS: a novel feature selection for data representation
... existing feature selection methods focus on the predictability ...a novel feature selection method is proposed to improve stability, and interpretability without sacrificing predictability ...
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Numerical characterisation of biomedical titanium surface texture using novel feature parameters
... a novel feature characterisation, based on pattern recognition techniques is implemented on specially processed titanium ...the feature analysis compared to the use of conventional surface texture ...
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Video Retrieval – An Improvised Algorithm for Movies Using Novel Feature
... proposed novel feature for shot boundary detection which can detect abrupt transitions like cuts and special effects like fades and dissolves in different ...
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A Novel Feature Selection Measure Partnership-Gain
... of feature X, and so is y, while p(x,y) is the joint probability that the value of X is x and the value of Y is ...the feature Y and the P(X —Y) is higher than ...filter feature selection algorithm ...
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A Novel Feature Selection Technique For Feature Order Sensitive Classifiers
... Random Forest classifier which is a homogeneous ensemble was initially introduced by Breiman [Bre01]. It takes un-pruned decision trees such that each node of the tree with best feature from a randomly selected ...
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A novel feature selection algorithm based on hypothesis-margin
... Further, in most cases Isimba algorithm can obtain the more effective subset of features as compared to Simba, since by dynamically adjusting the controlled parameter λ , Isimba makes the global structure or ...
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A novel feature selection technique for unstructured data analysis
... Event Detection is becoming more important in social media analysis. This raise based on the temporal and spatial resolutions. Here we propose a novel approach towards multiscale event detection. The properties ...
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Novel feature selection algorithms for improving neural network performance
... hybrid feature selection method by combining a novel filter and a novel wrapper in multiple ...no feature ranking, and has more obvious improvement on ANN ...a novel GA based wrapper ...
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Topic Based Chinese Message Polarity Classification System at SIGHAN8 Task2
... a novel method for topic-based Chinese microblog sentiment classi- fication, and put forward two novel feature gen- eration approaches of LT-IGT and topic-related sentimental word embedding, with ...
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Download Download PDF
... before feature selection and showed promise regarding its robustness to misalignment, dynamic lighting and ...two novel feature selection combinations before feature ...the feature ...
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Enhancing Classifier Performance via Hybrid Feature Selection and Numeric Class Handling A Comparative Study
... a novel Feature Selection (FS) algorithm based on Ranker Search (RS) optimization method and Ensemble Genetic Search (EGS) is chosen for selecting the appropriate features and also class label refining for ...
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Word clustering based on POS feature for efficient twitter sentiment analysis
... a novel feature weighting approach for sentiment analysis of twitter data has been proposed using a Bayes-based text ...effective feature selec- tion strategy recognizing sentiment sentence is ...
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A Novel Coarse to fine Registration for 3D Point Cloud Based on Feature Points
... A novel feature points extraction method is presented, following an integrated local feature descriptor including Gaussian curvature, average curvature and point density for each point, through which ...
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Feature Selection Based On Hybrid Genetic Algorithm With Support Vector Machine (GA-SVM)
... a novel feature selection criteria, namely the margin verses cosine distance ratio, which adds the weight value of the features to maximize the margin verses cosine distance ...the feature selection ...
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Feature Prioritization-A Novel Method for Prioritization
... A feature can be defined as a demand, a need or a description of what the system should ...successfully feature prioritization is done on that product ...different feature prioritization techniques ...
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A Novel Approach Of Feature Selection Techniques For Image Dataset
... based Feature Selection (CFS), Information Gain (IG), Relief (R), Principle Components Analysis (PCA), Consistency based Subset Evaluation (CSE), and symmetrical uncertainty ...oldest feature selection ...
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A consistency contribution based bayesian network model for medical diagnosis
... and mammographic, CCBN is better than that of LAGD-BN, even for δ = 0. Such an improvement should owe to random start which has depressed local subop- tima. Also, with δ = 0.00001 or δ = 0.0001, CCBN shows much more ...
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Deep Fake Image Detection based on Pairwise Learning
... In this paper, we have proposed a novel common fake feature network based the pairwise learning,. 234[r] ...
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