In this paper we propose and study a technique to impose structural constraints on the output of a neural network, which can reduce amount of computation and number of parameters besides improving prediction accuracy when the output is known to approximately conform to the low-rankness prior. The technique proceeds by replacing the output layer of neural network with the so-called MLM layers, w...

Intelligent transportation systems (ITS) are refined applications with a spotlightto get and unfoldartistic services associated withcompletely different transport modes for traffic management. The Intelligent travel system provides Associate in Nursing eminent Neural Network based mostly intelligence system that provides automatic allocation of travel's through the worlddata system across the t...

Quality assurance tasks such as testing, verification and validation, fault tolerance, and fault prediction play a major role in software engineering activities. Fault prediction approaches are used when a software company needs to deliver a finished product while it has limited time and budget for testing it. In such cases, identifying and testing parts of the system that are more defect prone...

Figure 1: Overview of our method. Confidence of stereo correspondences is useful information to improve quality of the disparity maps. Many features to predict the confidence have been proposed. Learning based confidence measure[6] combines these features and is able to outperform their individual usage. These features and classifiers are carefully designed, however beneficial information might...

This work proposes a method of predicting pitch and voicing from mel-frequency cepstral coefficient (MFCC) vectors. Two maximum a posteriori (MAP) methods are considered. The first models the joint distribution of the MFCC vector and pitch using a Gaussian mixture model (GMM) while the second method also models the temporal correlation of the pitch contour using a combined hidden Markov model (...

A set of computerized tools to support a performance oriented parallel program development is integrated in the CAPSE (Computer Aided Parallel Software Engineering) environment. The respective tool support for performance engineering activities covers performance prediction in the design phase, analytical or simulation based performance evaluation in the detailed speciication and coding phase, ...

In this paper, we focus on protein contact map prediction. We describe a method where contact maps are predicted using decision tree-based model. The algorithm includes the subsequence information between the couple of analyzed amino acids. In order to evaluate the method generalization capabilities, we carry out an experiment using 173 non-homologous proteins of known structures. Our results i...

In this work, we propose a novel approach to prioritize the depth map computation of multi-view stereo (MVS) to obtain compact 3D point clouds of high quality and completeness at low computational cost. Our prioritization approach operates before the MVS algorithm is executed and consists of two steps. In the first step, we aim to find a good set of matching partners for each view. In the secon...