Classification percentages using the proposed features
Osteoporosis Classification Using Texture Features
... G θ,σ (x, y) C. 1D Local Binary Patterns (LBP) The projection vectors are now subjected to 1D LBPs. The LBPs were first proposed by Ojala et al. [22] and than later have been widely used for the texture feature ...
6
On automatic emotion classification using acoustic features
... Importance Weighted Inter–Database Classification Each speaker has a different style of speaking. These differences are more pro- nounced between the male and female speakers. Secondly, different and changing ...
205
Email Classification using Behavior and Time Features
... records using the MapReduce model. By combining behavior features from social networks and time features from email sending intervals, we adopt a Support Vector Machine based classifier to identify ...
10
Classification of Electroencephalography signals using mixture of Features
... on classification of EEG signals using different feature extraction methods for pattern recognition ...analysis using Autoregressive (AR) Model and Lyapunov ...the classification purpose. A ...
57
Gender Classification using Geometric Facial Features
... From last 30 years experimental research work has been conducted in this field as a result the current position of facial gender detection is on well progress. Automatic gender recognition problem is essential in places ...
6
Arabic Document Classification Using Multiword Features
... A. Training Set Sizes Fig. 1 and Fig. 2 show the accuracies for the cosine similarity function and the dice similarity functions respectively where the single term frequency, TF-IDF, is applied. As mentioned, the dice ...
6
Classification of proteins using sequential and structural features
... different features may be involved in thermostabilization or the class labels may not be ...predictive features of protein thermostability or activity cannot be used in a manner to design proteins by ...
141
Texture classification using invariant ranklet features
... texture classification has started playing a key role, with several applications in biomedical imaging, remote sensing, image classification and ...texture classification system involves two steps: ...
15
Automatic Verb Classification Using Distributions of Grammatical Features
... In doing this, we address the questions above by de- termining what are the lexical features that could distinguish the behavior of the classes of verbs with re[r] ...
8
Classification of Malaysian vowels using formant based features
... GDX is a neural network training function that updates weight and bias values according to gradient descent momentum and adaptive learning rate. Either one or two hidden layer was used in this study to identify the vowel ...
14
EEG based Emotion Classification using Nonlinear Features
... emotions using EEG signals. Using nonlinear features DFA and Hurst of EEG signals, we attempt to analyze the performance of different classifiers for emotion ...three classification techniques ...
8
Ensemble Classification of Grants using LDA based Features
... Currently classification is a manual and subjective process taking considerable time and ...automatic classification offers the potential to amend the set of topics ...ing classification accuracy ...
7
Music Genre Classification Using MIDI and Audio Features
... on using MIDI files and audio features from MIDI, separately and combined together, for MIDI music genre ...audio features to train different ...MIDI features for their ...achieved using ...
8
Acoustic classification of Australian anurans using syllable features
... the classification accuracy of Uperoleia fusca, Litoria rubella, and Uperoleia laevigata is relatively ...the classification accuracy of Limnodynastes tasmaniensis, Litoria chloris, and Mixophyes ...
7
Detection and Classification of Bone Fractures Using GLCM Features
... and classification of bone X-Ray images is presented based on GLCM features of the ...noise using various filters and deconvolution ...efficiently using blind deconvolution method as no ...
8
An Approach Using Style Classification Features for Quality Estimation
... “style classification” features for the task of QE: the idea is to select a set of n-grams which are particularly representa- tive of a given level of ...such features can contribute to the task of ...
6
Sentiment Classification using Automatically Extracted Subgraph Features
... of features, many of which are highly ...tured features, when used in addition to the bag-of-words features, for a sentiment classi- fication ...
9
Recognition and Classification of Object Images Using Features Extraction
... and classification of different types of object images based on texture features ...texture features. For recognition and classification of objects images, a back propagation neural network ...
5
Age Group Classification System Using Shape Features
... Shape features; Age Group Classification; Center Concentrated Matrix; K-NN classifier; facial image ...and classification of human faces are widely used in various fields in which namely, Machine ...
9
Classification with Costly Features Using Deep Reinforcement Learning
... ditional action, which has two main effects: (1) It improves performance for samples needing a large amount of features. (2) It offloads the complex samples to HPC, so the model can focus its capacity more ...
8