background: electromyographic (emg) signal decomposition is the process by which an emg signal is decomposed into its constituent motor unit potential trains (mupts). a major step in emg decomposition is feature extraction in which each detected motor unit potential (mup) is represented by a feature vector. as with any other pattern recognition system, feature extraction has a significant impac...

opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. in general, opinion mining extracts user reviews at three levels of document, sentence and feature. opinion mining at the feature level is taken into consideration more than the other two levels d...

Abstract We propose a novel technique for algorithm-selection, applicable to optimisation domains in which there is implicit sequential information encapsulated the data, e.g., online bin-packing. Specifically we train two types of recurrent neural networks predict packing heuristic bin-packing, selecting from four well-known heuristics. As input, RNN methods only use sequence item-sizes. This ...

Abstract Sample correlations and feature relations are two pieces of information that needed to be considered in the unsupervised selection, as labels missing guide model construction. Thus, we design a novel selection scheme, this paper, via considering completed sample dependencies unified framework. Specifically, self-representation graph construction conducted preserve select important neig...

To improve the accuracy of feature extraction and description various scales in traditional Oriented FAST Rotated BRIEF (ORB) matching algorithm, this paper proposes an ORB algorithm based on multi-scale fusion point mapping error correction. Firstly, when establishing scale pyramid, method using same patch-size for each layer is adopted instead different patch-sizes a unified original which en...

Feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of Local Binary Pattern features. In this paper, we investigate the use of local binary patterns for percep...