Speaker Recognition using Random Forest

Facial Recognition using Modified Local Binary Pattern and Random Forest

This paper presents an efficient algorithm for face recognition using the local binary pattern (LBP) and random forest (RF). The novelty of this research effort is that a modified local binary pattern (MLBP), which combines both the sign and magnitude features for the improvement of facial texture classification performance, is applied. Furthermore, RF is used to select the most important featu...

Gesture Recognition Using Template Based Random Forest Classifiers

This paper presents a framework for spotting and recognizing continuous human gestures. Skeleton based features are extracted from normalized human body coordinates to represent gestures. These features are then used to construct spatio-temporal template based Random Decision Forest models. Finally, predictions from different models are fused at score level to improve overall recognition perfor...

A Remote Sensing Ship Recognition Using Random Forest

In order to detect the marine targets reliably and timely, a novel ship recognition method by using optical remote sensing data based on random forest is presented. First, in the feature extraction part, in addition to the common features, we introduce the visual saliency features of the target.; second, an improved random forest based on mutual information (MIRF) is utilized to recognize ships...

Author gender identification from text using Bayesian Random Forest

Nowadays high usage of users from virtual environments and their connection via social networks like Facebook, Instagram, and Twitter shows the necessity of finding out shared subjects in this environment more than before. There are several applications that benefit from reliable methods for inferring age and gender of users in social media. Such applications exist across a wide area of fields,...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words