通过伪标签引导的对比学习和双相关性学习进行深度多视图集群
IEEE transactions on neural networks and learning systems
|January 30, 2024
概括
本研究引入了一种新的深度多视图集群 (MVC) 方法,通过使用伪标签来改进对比学习 (CL) 并探索特征和集群之间的双重相关性,从而提高集群准确性. 拟议的框架增强了功能学习,并优于现有的最先进的MVC技术.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 深度多视图集群 (MVC) 利用多个数据视图之间的关系来提高性能.
- 现有的深度MVC方法面临着不准确的对比学习 (CL) 的挑战,原因是不适当的对选择和有限的双重相关性 (特征和集群) 探索.
研究的目的:
- 提出一个新的深度MVC框架,解决当前方法的局限性.
- 通过完善正负对选择,提高MVC对比学习的准确性.
- 探索跨视图的特征和集群相关性,以获得更全面的关系学习.
主要方法:
- 开发了一个伪标签指导的对比学习 (CL) 机制,通过减轻假负对来精确对准特征分布.
- 引入了双相关性学习,以调查多个视图之间的特征和集群相关性.
- 实施了一个新的深度MVC框架,整合了这两个组件.
主要成果:
- 拟议的方法在各种数据集中展示了与最先进的深度MVC技术相比的优越性能.
- 伪标签引导的CL有效地改善特征分布对齐和特征歧视性学习.
- 双关联学习捕捉了观点之间更丰富,更全面的关系.
结论:
- 新的深度MVC框架有效地解决了现有方法的关键挑战,从而提高了集群性能.
- 伪标签引导的CL和双相关性学习对于准确和全面的多视图表示学习至关重要.
- 拟议的方法在深度多视图集群领域取得了重大进展.
相关概念视频
Associative Learning
370
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...
Classical conditioning, also known...
370
Cluster Sampling Method
11.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.9K
Multi-input and Multi-variable systems
106
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...
In the absence...
106
Correlations
32.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
32.8K
Aggregates Classification
326
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
326
Collisions in Multiple Dimensions: Introduction
5.4K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
5.4K


