监督学习的多视图深度高斯过程

相关实验视频

Updated: Jul 16, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

568

Wenbo Dong, Shiliang Sun

    IEEE transactions on pattern analysis and machine intelligence
    |September 19, 2023
    PubMed
    概括

    本研究引入了一个监督的多视图深度高斯过程 (SupMvDGP) 模型,用于增强预测性能和不确定性估计. 这种新的方法有效地模拟了各种数据视图,在真实世界的数据集上取得了最先进的结果.

    更多相关视频

    Deep Neural Networks for Image-Based Dietary Assessment13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.2K
    Cross-Modal Multivariate Pattern Analysis13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.0K

    相关概念视频

    Multi-input and Multi-variable systems01:22

    Multi-input and Multi-variable systems

    Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
    In the absence...
    127
    Deconvolution01:20

    Deconvolution

    Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
    Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
    186
    Associative Learning01:27

    Associative Learning

    Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
    Classical conditioning, also known...
    434
    Parallel Processing01:20

    Parallel Processing

    The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
    179
    Depth Perception and Spatial Vision01:15

    Depth Perception and Spatial Vision

    Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
    709
    Introduction to Learning01:18

    Introduction to Learning

    Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
    In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
    465