Adaptive robust control of a four-cable-driven parallel robot
This present study introduces an adaptive control strategy for four-cable robots. An adaptive sliding mode control to overcome the uncertainties of the system as well as avoidance of estimating an upper bound of the system uncertainties is presented. The ...
Computing disparity map using minimum sum belief propagation for stereo pair images
Stereo matching between two images is done by computing disparity of all points on the object. The process involves identifying corresponding points in stereo image and finding the horizontal shift. Presently, there is no method that finds the shift in ...
Extended opinion lexicon and ML-based sentiment analysis of tweets: a novel approach towards accurate classifier
Micro-blogging, today has become a very trendy communication tool among internet users. Millions of users share their opinions on diverse aspects of life which are rich sources for opinion mining. This paper addresses the sentiment analysis of twitter ...
Characterising local feature descriptors for face sketch to photo matching
Sketch and photo are from a different modality. Inter-modality matching approach requires right feature representation to represent both images so that the modality gap can be neglected. Improper feature selection may result in low recognition rate. There ...
Adaptive neuro-fuzzy inference system based on-the-move terrain classification for autonomous wheeled mobile robots
Building intelligence in autonomous robots to classify heterogeneous terrains on-the-move is a challenging task, but a pivotal feature required for accomplishing safety critical missions. This paper proposes an adaptive neuro-fuzzy inference system for ...
Structured learning and prediction in face sketch gender classification and recognition
Structured prediction methods have become an attractive tool for many machine-learning applications. For this reason, the objective of this paper is to identify the gender of the human being by using their face sketch applying a structured learning ...