Networking for big data: A survey
Complementary to the fancy big data applications, networking for big data is an
indispensable supporting platform for these applications in practice. This emerging research …
indispensable supporting platform for these applications in practice. This emerging research …
Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views
Object viewpoint estimation from 2D images is an essential task in computer vision.
However, two issues hinder its progress: scarcity of training data with viewpoint annotations …
However, two issues hinder its progress: scarcity of training data with viewpoint annotations …
Deep learning of representations: Looking forward
Y Bengio - International conference on statistical language and …, 2013 - Springer
Deep learning research aims at discovering learning algorithms that discover multiple levels
of distributed representations, with higher levels representing more abstract concepts …
of distributed representations, with higher levels representing more abstract concepts …
Tensor decompositions and applications
This survey provides an overview of higher-order tensor decompositions, their applications,
and available software. A tensor is a multidimensional or N-way array. Decompositions of …
and available software. A tensor is a multidimensional or N-way array. Decompositions of …
Key-performance-indicator-related process monitoring based on improved kernel partial least squares
Y Si, Y Wang, D Zhou - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Although the partial least squares approach is an effective fault detection method, some
issues of nonlinear process monitoring related to key performance indicators (KPIs) still …
issues of nonlinear process monitoring related to key performance indicators (KPIs) still …
Blind haze separation
S Shwartz, E Namer… - 2006 IEEE Computer …, 2006 - ieeexplore.ieee.org
Outdoor imaging is plagued by poor visibility conditions due to atmospheric scattering,
particularly in haze. A major problem is spatially-varying reduction of contrast by stray …
particularly in haze. A major problem is spatially-varying reduction of contrast by stray …
Linked component analysis from matrices to high-order tensors: Applications to biomedical data
With the increasing availability of various sensor technologies, we now have access to large
amounts of multiblock (also called multiset, multirelational, or multiview) data that need to be …
amounts of multiblock (also called multiset, multirelational, or multiview) data that need to be …
Denoising and dimensionality reduction using multilinear tools for hyperspectral images
N Renard, S Bourennane… - IEEE Geoscience and …, 2008 - ieeexplore.ieee.org
In hyperspectral image (HSI) analysis, classification requires spectral dimensionality
reduction (DR). While common DR methods use linear algebra, we propose a multilinear …
reduction (DR). While common DR methods use linear algebra, we propose a multilinear …
Dimensionality reduction methods for brain imaging data analysis
The past century has witnessed the grand success of brain imaging technologies, such as
electroencephalography and magnetic resonance imaging, in probing cognitive states and …
electroencephalography and magnetic resonance imaging, in probing cognitive states and …
Multiway analysis of epilepsy tensors
Motivation: The success or failure of an epilepsy surgery depends greatly on the localization
of epileptic focus (origin of a seizure). We address the problem of identification of a seizure …
of epileptic focus (origin of a seizure). We address the problem of identification of a seizure …