feature vector
SIFT applied to CBIR
... the feature-vector window from 4 × 4 to 2 × ...the feature-vector window, the noisier each keypoint ...C. Feature-vector ...
8
PERFORMANCE EVALUATION OF CONTENT BASED IMAGE RETRIEVAL FOR MEDICAL IMAGES
... generating feature vectors in content based image retrieval (CBIR) systems. Feature vectors are stored in feature databases and images ...multi-dimensional feature vector through use of ...
7
Twitter Sentiment Analysis of Movie Reviews using Machine Learning Techniques.
... The proposed system contains various phases of development. A dataset is created using twitter posts of movie reviews. As we know that tweets contains slang words and misspelling. So we perform a sentence level sentiment ...
7
CBIR Using Kekre's Transform over Row column Mean and Variance Vectors
... of feature database for all database images which includes formation of feature vector by applying the two methods one is by applying Kekre’s transform over row and column vectors and secondly by ...
6
A Survey of Copy-Move Forgery Detection Techniques for Digital Images
... The feature vector list is lexicographically ...shift vector with highest frequency of occurrence as main shift vector (d), and regard a similar block pair as incorrect matching pair when its ...
8
FEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORK
... is Feature selection which would be defined as selecting the amalgamation of features between a larger feature vector database that defines a specific feature set is ...optimum feature ...
15
Multimodal Biometrics using Feature Fusion
... Montoya-Zegarra et al. (2009) presented a real time system to retrieve fingerprint images from database. The fingerprint database is large, due to which the retrieval speed increases. The noise in the fingerprint images ...
5
Detector de pontos de interesse baseado em características visuais e de profundidade
... After estimating a scale and extracting both visual and geometric features, the algorithm assembles this information in a final feature vector which is further classified by a decision t[r] ...
69
DESIGN AND DEVELOPMENT OF AN IMAGE BASED PLANT IDENTIFICATION SYSTEM USING LEAF
... the feature vector but in turn resulted in the loss of minute details of the leaf shape, hence affecting the retrieval ...of feature vector but it caused a major loss ...
13
Representações de características visuais de baixo custo para recuperação de imagens
... the feature extraction triple trade-off problem in mobile devices by evaluating low-cost feature ...compact feature vector to be processed on the server ...
178
Improving web authentication with keystroke dynamics
... To take the variation of user’s contributions into account, score and error distribution were first normalised for each user, and only then added together to calculate distributions and errors for the whole system. This ...
68
A parallel algorithm for finding small sets of genes that are enough to distinguish two biological states
... a feature vector that is enough to separate these two ...each feature vector considered; the designing of optimal linear classifiers under this spreading model; and ranking the designed ...
5
A Refined Hybrid Image Retrieval System using Text and Color
... for feature vector generation for text and cosine similarity is used for ...The feature vectors for images are extracted in terms of three moments: 1 st moment (mean), 2 nd moment (variance), 3 rd ...
9
Comparison Contour Extraction Based on Layered Structure and Fourier Descriptor on Image Retrieval
... local feature of an image at some point at interest location is ...The feature vector is computed by measuring a distance between a center of object and point in the boundary object Then the result ...
4
Statistical Moments Extracted from Eight Bins Formed by CG Partitioning of Histogram Modified using Linear Equations
... the feature vector databases are ready, system goes through two ...image feature vectors by means of three similarity measures explained in part ...
10
Comparative Analysis of PSO and GA in Geom-Statistical Character Features Selection for Online Character Recognition
... good feature set which is reasonably invariant with respect to shape variation caused by various writing ...styles. Feature extraction is the process of extracting from the raw data the information which is ...
8
Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction
... of feature vector is quite unmanageable when its dimensionality is very ...dimensional feature vectors to reduced feature space for the ease of ...the feature vectors to a subspace in ...
4
Classification of EEG data using FHT and SVM based on Bayesian Network
... In this paper the feature vector extraction is performed on the dataset using Fast Hartley Transform (FHT). FHT [4] is a technique helps to extract the feature vector efficiently. A discrete ...
5
Human -Computer Interface using Gestures based on Neural Network
... Abstract- Gestures are powerful tools for non-verbal communication. Human computer interface (HCI) is a growing field which reduces the complexity of interaction between human and machine in which gestures are used for ...
7
Semi-supervised feature selection
... The feature selection performed in such way, using labeled and unlabeled data, is called Semi-Supervised Feature Selection (SSFS) and this concept will be better explained in Section ...
155