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Subjects / keywords: ACADEMIC PRESS; 003.52 P316p

El eje central de la XII edición del congreso (COMPDES2019) ha sido nuevamente el Internet de las Cosas (Internet of Things). Este eje se tomado como orientación general de los trabajos con las siguientes líneas temá...

Modern animal and crop production practices are associated with the regular use of antimicrobials, potentially increasing selection pressure on bacteria to become resistant. Alternative approaches are needed in order to ...

Chip-scale integrated optical signal processors promise to support a multitude of signal processing functions with bandwidths beyond the limit of microelectronics. Previous research has made great contributions in terms ...

Abstract: Although many studies of cognitive switching have been conducted, little is known about whether and how cognitive switching affects individuals’ use of arithmetic strategies. We used estimation and numerical ...

Subjects / keywords: Computer science; Feature (linguistics); Block (permutation group theory); Convolutional neural network; Pattern recognition (psychology); Code (set theory); Artificial intelligence; Algorithm; Mathematics; Programming l...

In object detection, an intersection over union (IoU) threshold is required to define positives and negatives. An object detector, trained with low IoU threshold, e.g. 0.5, usually produces noisy detections. However, det...

Subjects / keywords: Dimensionality reduction; Computer science; Nonlinear dimensionality reduction; Mass cytometry; Visualization; Reduction (mathematics); Benchmarking; Data mining; Principal component analysis; Curse of dimensionality; Pa...

Subjects / keywords: Computer science; Pooling; Encoder; ENCODE; Artificial intelligence; Segmentation; Pyramid (geometry); Pattern recognition (psychology); Convolutional neural network; Upsampling; Separable space; Convolution (computer sc...

The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations. In contrast, one-stage detectors that are...

In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as across a spectrum of different model sizes. We...

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...

While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics tod...

Subjects / keywords: Computer science; Segmentation; Encoder; Artificial intelligence; Image segmentation; Feature (linguistics); Deep learning; Computer vision; Pattern recognition (psychology); Image (mathematics); Operating system; Lingui...