Results 91 to 100 of about 4,385,567 (281)

Independent Component Analysis for Domain Independent Watermarking [PDF]

, 2002
A new principled domain independent watermarking framework is presented. The new approach is based on embedding the message in statistically independent sources of the covertext to mimimise covertext distortion, maximise the information embedding rate and improve the method's robustness against various attacks.
Bounkong, Stephane, Saad, David, Lowe, David   +2 more
openaire   +1 more source

PICALM::MLLT10 translocated leukemia

FEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen, Antonia C. Nakatsugawa, Natalie Barton, Henry Haines, Gary S. Stein, Janet L. Stein, Daniel S. Wechsler, Jessica L. Heath   +7 more
wiley   +1 more source

Cell wall target fragment discovery using a low‐cost, minimal fragment library

FEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan, Mathew Stanley, Olawale Raimi, Andrew T. Ferenbach, Helge C Dorfmueller, Daan M. F. van Aalten   +5 more
wiley   +1 more source

Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics

Journal of Electrical and Computer Engineering, 2016
This paper proposes a two-stage fast convergence adaptive complex-valued independent component analysis based on second-order statistics of complex-valued source signals. The first stage constructs a cost function by extending the real-valued whiten cost
Yanfei Jia, Xiaodong Yang
doaj   +1 more source

Diffusion map for clustering fMRI spatial maps extracted by independent component analysis

, 2013
Functional magnetic resonance imaging (fMRI) produces data about activity inside the brain, from which spatial maps can be extracted by independent component analysis (ICA). In datasets, there are n spatial maps that contain p voxels.
Alluri, Vinoo, Brattico, Elvira, Cong, Fengyu, Nandi, Asoke K., Ristaniemi, Tapani, Sipola, Tuomo, Toiviainen, Petri   +6 more
core   +1 more source

Independent component analysis by wavelets [PDF]

TEST, 2007
22 ...
openaire   +2 more sources

Inhibiting stearoyl‐CoA desaturase suppresses bone metastatic prostate cancer by modulating cellular stress, mTOR signaling, and DNA damage response

FEBS Letters, EarlyView.
Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson, Mackenzie K Herroon, Shane Mecca, Laimar C Garmo, Jacob Lindquist, Shrila Rajendran, Steve M. Patrick, Izabela Podgorski   +7 more
wiley   +1 more source

Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis

IEEE Access
Large-scale functional magnetic resonance imaging (fMRI) datasets provide exciting opportunities for understanding and improving brain health. Data-driven techniques such as independent component analysis (ICA) and independent vector analysis (IVA) have ...
Lucas Gois, Hanlu Yang, Trung Vu, Weixin Wang, Denis Fantinato, Aline Neves, Vince D. Calhoun, Tulay Adali   +7 more
doaj   +1 more source

LIKELIHOOD BASED POPULATION INDEPENDENT COMPONENT ANALYSIS [PDF]

, 2011
Independent component analysis (ICA) is a widely used technique for blind source separation, used heavily in several scientific research areas including acoustics, electrophysiology and functional neuroimaging.
Caffo, Brian S., Crainiceanu, Ciprian M., Eloyan, Ani   +2 more
core   +1 more source

Stochastic trapping in a solvable model of on-line independent component analysis

, 2001
Previous analytical studies of on-line Independent Component Analysis (ICA) learning rules have focussed on asymptotic stability and efficiency. In practice the transient stages of learning will often be more significant in determining the success of an ...
Rattray, Magnus
core   +2 more sources