Results 111 to 120 of about 14,660 (227)
A New Feature Extraction Algorithm Based on Orthogonal Regularized Kernel CCA and Its Application
In this paper, an orthogonal regularized kernel canonical correlation analysis algorithm (ORKCCA) is proposed. ORCCA algorithm can deal with the linear relationships between two groups of random variables.
Xinchen Guo +3 more
doaj +1 more source
UNSUPERVISED LEARNING OF ACOUSTIC FEATURES VIA DEEP CANONICAL CORRELATION ANALYSIS
It has been previously shown that, when both acoustic and artic-ulatory training data are available, it is possible to improve phonetic recognition accuracy by learning acoustic features from this multi-view data with canonical correlation analysis (CCA).
Raman Arora +3 more
core +1 more source
On Sparse Canonical Correlation Analysis
The classical Canonical Correlation Analysis (CCA) identifies the correlations between two sets of multivariate variables based on their covariance, which has been widely applied in diverse fields such as computer vision, natural language processing, and
Dey, Santanu S. +2 more
core
We examined the functional relationship between large‐scale δ‐band phase synchrony and local epileptogenic β–γ‐band amplitude bistability during NREM sleep. Increased synchrony and strong bistability characterized the epileptogenic zone, with strongest effects during N2 sleep, when seizures most frequently occur.
Gaia Burlando +14 more
wiley +1 more source
The Geometry Of Kernel Canonical Correlation Analysis
Canonical correlation analysis (CCA) is a classical multivariate method concerned with describing linear dependencies between sets of variables. After a short exposition of the linear sample CCA problem and its analytical solution, the article proceeds ...
Graepel, T., Kuss, M.
core +1 more source
Abstract Recurrent point mutations in ribosomal proteins (RPs) RPL10 and RPS15 are found in T‐cell acute lymphoblastic leukemia (T‐ALL) and chronic lymphocytic leukemia (CLL), respectively. Furthermore, deletions of RPL5, RPL11, and RPL22 are frequent in hematologic diseases such as Diamond Blackfan Anemia, T‐ALL, multiple myeloma, and in a variety of ...
Anaïs Astier +26 more
wiley +1 more source
Swash zone topography rapidly responds to the surf zone waves. Understanding how sandy beaches respond to wave action is critical for beach erosion research, and plays a critical role in the design and maintenance of shore protection structures. The main
Li Zhiqiang
doaj +1 more source
Forecasting VARMA processes using VAR models and subspace-based state space models
VAR modelling is a frequent technique in econometrics for linear processes. VAR modelling offers some desirable features such as relatively simple procedures for model specification (order selection) and the possibility of obtaining quick non-iterative ...
del Hoyo, Juan +2 more
core
Gas Biopsy of Pleural Effusion to Diagnose Lung Cancer by Mass Spectrometry
HS‐SPME–GC–MS profiling of pleural effusion revealed distinct volatile metabolic features between lung cancer‐associated malignant pleural effusion and benign pleural effusion. Cross‐matrix integration with paired lung cancer tissues identified hexanal as the only shared differential VOC.
Wenting Liu +10 more
wiley +1 more source
Face hallucination using orthogonal canonical correlation analysis
A two-step face-hallucination framework is proposed to reconstruct a high-resolution (HR) version of a face from an input low-resolution (LR) face, based on learning from LR-HR example face pairs using orthogonal canonical correlation analysis ...
Zhou, H, Lam, KM
core +1 more source

