Results 121 to 130 of about 8,286,998 (397)
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Morphological mapping for non‐linear dimensionality reduction
IET Computer Vision, 2015 Recently, much research has been carried out on dimensionality reduction techniques that summarise a large set of features into a smaller set, leading to much less redundancy.
Rajiv Kapoor, Rashmi Gupta
doaj +1 more source
The class of infinite dimensional quasipolaydic equality algebras is not finitely axiomatizable over its diagonal free reducts [PDF]
arXiv, 2013 We show that the class of infinite dimensional quasipolaydic equality algebras is not finitely axiomatizable over its diagonal free ...
arxiv
Spontaneous Dimensional Reduction in Quantum Gravity [PDF]
, 2016 Hints from a number of different approaches to quantum gravity point to a phenomenon of "spontaneous dimensional reduction" to two spacetime dimensions near the Planck scale. I examine the physical meaning of the term "dimension" in this context, summarize the evidence for dimensional reduction, and discuss possible physical explanations.
arxiv +1 more source
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks [PDF]
arXiv, 2021 Real-world data usually have high dimensionality and it is important to mitigate the curse of dimensionality. High-dimensional data are usually in a coherent structure and make the data in relatively small true degrees of freedom. There are global and local dimensionality reduction methods to alleviate the problem.
arxiv
Neural correlates of sparse coding and dimensionality reduction
PLoS Comput. Biol., 2019 Supported by recent computational studies, there is increasing evidence that a wide range of neuronal responses can be understood as an emergent property of nonnegative sparse coding (NSC), an efficient population coding scheme based on dimensionality ...
M. Beyeler +4 more
semanticscholar +1 more source
Nonlinear dimensionality reduction on graphs [PDF]
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 In this era of data deluge, many signal processing and machine learning tasks are faced with high-dimensional datasets, including images, videos, as well as time series generated from social, commercial and brain network interactions. Their efficient processing calls for dimensionality reduction techniques capable of properly compressing the data while
Georgios B. Giannakis +2 more
openaire +2 more sources
Molecular Oncology, EarlyView.Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
Geodesic distances in the intrinsic dimensionality estimation using packing numbers
Nonlinear Analysis, 2014 Dimensionality reduction is a very important tool in data mining. An intrinsic dimensionality of a data set is a key parameter in many dimensionality reduction algorithms. When the intrinsic dimensionality of a data set is known, it is possible to reduce
Rasa Karbauskaitė, Gintautas Dzemyda
doaj +1 more source
Joint Dimensionality Reduction for Separable Embedding Estimation [PDF]
arXiv, 2021 Low-dimensional embeddings for data from disparate sources play critical roles in multi-modal machine learning, multimedia information retrieval, and bioinformatics. In this paper, we propose a supervised dimensionality reduction method that learns linear embeddings jointly for two feature vectors representing data of different modalities or data from ...
arxiv