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Abstract Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort 1–4 , the structures of around 100,000 un...

We propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of the sparsity is achieved by grouping similar 2-D image fragments (e.g., blocks) into 3-D data...

Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve very good performance ...

A general non-parametric technique is proposed for the analysis of a complex multimodal feature space and to delineate arbitrarily shaped clusters in it. The basic computational module of the technique is an old pattern ...

Presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prot...

We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image data, our approach aims at extracting the global impression o...

The CCP4 (Collaborative Computational Project, Number 4) software suite is a collection of programs and associated data and software libraries which can be used for macromolecular structure determination by X-ray crystal...

The way that information propagates in neural networks is of great importance. In this paper, we propose Path Aggregation Network (PANet) aiming at boosting information flow in proposal-based instance segmentation framew...

The central building block of convolutional neural networks (CNNs) is the convolution operator, which enables networks to construct informative features by fusing both spatial and channel-wise information within local re...

Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of gr...

Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks. Popular models that learn such representations ignore the morphology of words, by assigning a dis...

Materias / palabras clave: artificial intelligence, machine learning, computer vision, computational intelligence, information engineering, evolutionary computation; Science: Mathematics: Instruments and machines: Electronic computers. Computer sc...

Materias / palabras clave: artificial intelligence, autonomous robotics, computational intelligence, computer vision, cybersecurity, machine learning; Language and Literature: Philology. Linguistics: Computational linguistics. Natural language pro...

Materias / palabras clave: artificial intelligence, machine learning and deep learning, materials discovery and design, drug discovery and design, energy science, computational chemistry; Science: Chemistry; Science: Mathematics: Instruments and m...

Materias / palabras clave: artificial intelligence, machine learning, deep learning, natural language processing, robotics, human-machine interaction; Language and Literature: Philology. Linguistics: Computational linguistics. Natural language pro...

Materias / palabras clave: artificial intelligence in architecture, theory of computation, computational design, generative approaches, computational models and tools, fabrication techniques; Fine Arts: Architecture: Architectural drawing and desi...

Materias / palabras clave: design, engineering, computer science, artificial intelligence, computational mechanics; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware

Materias / palabras clave: natural language processing, human language, artificial intelligence, computer science, machine learning, deep learning; Language and Literature: Philology. Linguistics: Computational linguistics. Natural language proces...

Materias / palabras clave: artificial intelligence, robotics, data science, machine intelligence, computing, computational intelligence; Science: Science (General): Cybernetics; Science: Mathematics: Instruments and machines: Electronic computers....

Materias / palabras clave: robotics and automation, mechatronics, artificial intelligence (incl. robotics), control, computational intelligence; Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (Ge...