[图书][B] Handbook of mixed membership models and their applications
This volume is, in a sense, the culmination of over 20 years of statistical work and over 15
years of personal interactions. One of us, Fienberg, was exposed to the ideas of the Grade of …
years of personal interactions. One of us, Fienberg, was exposed to the ideas of the Grade of …
Bayesian cluster ensembles
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset
to generate a stable and robust consensus clustering. There are important variants of the …
to generate a stable and robust consensus clustering. There are important variants of the …
A hybrid data-driven framework for diagnosing contributing factors for soil heavy metal contaminations using machine learning and spatial clustering analysis
G Huang, X Wang, D Chen, Y Wang, S Zhu… - Journal of Hazardous …, 2022 - Elsevier
The efficacy of source apportionment is often limited by a lack of information on natural and
anthropogenic contributing factors influencing soil heavy metal (HM) contaminations. To …
anthropogenic contributing factors influencing soil heavy metal (HM) contaminations. To …
Self-adaptive probability estimation for naive bayes classification
Probability estimation from a given set of training examples is crucial for learning Naive
Bayes (NB) Classifiers. For an insufficient number of training examples, the estimation will …
Bayes (NB) Classifiers. For an insufficient number of training examples, the estimation will …
[HTML][HTML] Locally embedding autoencoders: a semi-supervised manifold learning approach of document representation
C Wei, S Luo, X Ma, H Ren, J Zhang, L Pan - PloS one, 2016 - journals.plos.org
Topic models and neural networks can discover meaningful low-dimensional latent
representations of text corpora; as such, they have become a key technology of document …
representations of text corpora; as such, they have become a key technology of document …
Local abnormal behavior detection based on optical flow and spatio-temporal gradient
S Zhu, J Hu, Z Shi - Multimedia Tools and Applications, 2016 - Springer
To improve the accuracy of the detection of local abnormal behavior, a novel method is here
proposed. The main idea of the proposed method is described as follows: firstly, a video …
proposed. The main idea of the proposed method is described as follows: firstly, a video …
Anomaly detection based on local nearest neighbor distance descriptor in crowded scenes
X Hu, S Hu, X Zhang, H Zhang… - The Scientific World …, 2014 - Wiley Online Library
We propose a novel local nearest neighbor distance (LNND) descriptor for anomaly
detection in crowded scenes. Comparing with the commonly used low‐level feature …
detection in crowded scenes. Comparing with the commonly used low‐level feature …
Scene and place recognition using a hierarchical latent topic model
Place classification and object categorization are necessary functions of vision-based
robotic systems. In this paper, a novel latent topic model is proposed to learn and recognize …
robotic systems. In this paper, a novel latent topic model is proposed to learn and recognize …
Recommender system based on scarce information mining
Guessing what user may like is now a typical interface for video recommendation.
Nowadays, the highly popular user generated content sites provide various sources of …
Nowadays, the highly popular user generated content sites provide various sources of …
A GPU-accelerated non-negative sparse latent semantic analysis algorithm for social tagging data
Nowadays large-scale social tagging data have become very valuable in organizing and
indexing multimedia resources. In this paper, we apply Non-negative Sparse Latent …
indexing multimedia resources. In this paper, we apply Non-negative Sparse Latent …