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We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution f...

Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually being developed, we have found t...

BACKGROUND: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insuff...

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...

Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disci...

Materias / palabras clave: Cluster analysis; Computer science; Correlation clustering; Consensus clustering; CURE data clustering algorithm; Fuzzy clustering; Single-linkage clustering; Conceptual clustering; Artificial intelligence; Clustering hi...

By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulat...

The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and multimedia data. But exactly how such ...

Materias / palabras clave: theoretical aspects of computer science, pattern recognition and processing, knowledge engineering, distributed and grid systems, simulation, multimedia systems and computer graphics; Science: Mathematics: Instruments an...

Materias / palabras clave: computer vision, object recognition, image understanding, feature extraction, artificial intelligence, pattern recognition; Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: M...

Materias / palabras clave: parallel and distributed processing, computer networking, machine learning, software engineering internet of thing (iot), pattern recognition, image processing; Science: Mathematics: Instruments and machines: Electronic ...

Materias / palabras clave: computer science, artificial intelligence, deep learning, pattern recognition, computer vision, software engineering; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materias / palabras clave: artificial intelligence, 3d reconstruction, color vision, texture analysis, pattern recognition, image segmentation; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering...

Materias / palabras clave: information technology, design automation, simulation, signal processing, pattern recognition, parallel computing; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materias / palabras clave: software, artificial intelligence, computer hardware, pattern recognition, computer networks, computer processing; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. ...

Materias / palabras clave: computer theory and algorithm, artificial intelligence and pattern recognition, computer architecture and high performance computing, computer network, software engineering, database and knowledge-based systems; Science:...

Materias / palabras clave: image processing, image fusion and compression, pattern recognition, radar and sonar imaging, environmental monitoring; Technology: Photography; Medicine: Medicine (General): Computer applications to medicine. Medical in...

Materias / palabras clave: artificial intelligence, deep learning, machine learning, pattern recognition, artificial neural networks, reinforcement learning; Science: Mathematics: Instruments and machines: Electronic computers. Computer science