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Staff removal is an image processing task that aims to facilitate further analysis of music score images. Even when restricted to images in specific domains such as music score recognition, solving image processing problems usually requires the design of customized algorithms. To cope with image variabilities and the growing amount of data, machine learning based techniques emerge as a natural approach...
High-level understanding of image contents has been receiving much attention in the last decade. Low level processing figures as abuilding block in this framework and it also continues to play an important role in several specific tasks such as in image filtering and colorization, medical imaging, and document image processing. The design of image operators for these tasks is usually done manually...
Designing image operators is a hard task usually tackled by specialists in image processing. An alternative approach is to use machine learning to estimate local transformations, that characterize the image operators, from pairs of input-output images. The main challenge of this approach, called W-operator learning, is estimating operators over large windows without overfitting. Current techniques...
Machine learning is a very promising way of solving some image processing tasks. However, existing approaches fails at integrating feature selection within the learning task. This paper introduces a new two stage learning algorithm called near infinitely linear combination (NILC) that performs at the same time variable selection and error minimization. Empirical evidence reported on different document...
The usage of the millimeter wave (MMW) band in the 5th generation (5G) networks relies on beamforming to compensate the strong path-loss suffered at higher frequencies. To exploit the beamforming implemented by multiple antenna devices, proper algorithms to estimate the channel need to be designed. In this work we propose a novel channel estimation method for MMW systems where both transmitter and...
Millimeter-wave (MMW) is a probable technology for the future cellular systems. Its main challenge is achieving sufficient operating link margin, and directional beamforming with large antenna arrays may be a viable approach. With bandwidths on the order of gigahertz, high-resolution analog-to-digital converters are a power consumption bottleneck. One solution is to employ an hybrid implementation,...
The methods for removal of staff lines rely on characteristics specific to musical documents and they are usually not robust to some types of imperfections in the images. To overcome this limitation, we propose the use of binary morphological operator learning, a technique that estimates a local operator from a set of example images. Experimental results in both synthetic and real images show that...
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