Deepdpm: Deep clustering with an unknown number of clusters
Deep Learning (DL) has shown great promise in the unsupervised task of clustering. That
said, while in classical (ie, non-deep) clustering the benefits of the nonparametric approach …
said, while in classical (ie, non-deep) clustering the benefits of the nonparametric approach …
贝叶斯机器学习前沿进展综述
朱军， 胡文波 - 计算机研究与发展, 2015 - cqvip.com
随着大数据的快速发展, 以概率统计为基础的机器学习在近年来受到工业界和学术界的极大关注
, 并在视觉, 语音, 自然语言, 生物等领域获得很多重要的成功应用, 其中贝叶斯方法在过去20 …
, 并在视觉, 语音, 自然语言, 生物等领域获得很多重要的成功应用, 其中贝叶斯方法在过去20 …
A real time system for dynamic hand gesture recognition with a depth sensor
Recent advances in depth sensing provide exciting opportunities for the development of
new methods for human activity understanding. Yet, little work has been done in the area of …
new methods for human activity understanding. Yet, little work has been done in the area of …
One-shot learning and generation of dexterous grasps for novel objects
This paper presents a method for one-shot learning of dexterous grasps and grasp
generation for novel objects. A model of each grasp type is learned from a single kinesthetic …
generation for novel objects. A model of each grasp type is learned from a single kinesthetic …
Learning grasp affordance densities
We address the issue of learning and representing object grasp affordance models. We
model grasp affordances with continuous probability density functions (grasp densities) …
model grasp affordances with continuous probability density functions (grasp densities) …
Describing visual scenes using transformed objects and parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the
visual scenes surrounding them. Our approach couples topic models originally developed …
visual scenes surrounding them. Our approach couples topic models originally developed …
Bayesian nonparametric learning of complex dynamical phenomena
EB Fox - 2009 - dspace.mit.edu
The complexity of many dynamical phenomena precludes the use of linear models for which
exact analytic techniques are available. However, inference on standard nonlinear models …
exact analytic techniques are available. However, inference on standard nonlinear models …
Counting people by clustering person detector outputs
We present a people counting system that estimates the number of people in a scene by
employing a clustering scheme based on Dirichlet Process Mixture Models (DP-MMs) which …
employing a clustering scheme based on Dirichlet Process Mixture Models (DP-MMs) which …
[HTML][HTML] Toward ecologically realistic theories in visual short-term memory research
AE Orhan, RA Jacobs - Attention, Perception, & Psychophysics, 2014 - Springer
Recent evidence from neuroimaging and psychophysics suggests common neural and
representational substrates for visual perception and visual short-term memory (VSTM) …
representational substrates for visual perception and visual short-term memory (VSTM) …
Bayesian image based 3d pose estimation
We introduce a 3D human pose estimation method from single image, based on a
hierarchical Bayesian non-parametric model. The proposed model relies on a …
hierarchical Bayesian non-parametric model. The proposed model relies on a …