Results 281 to 290 of about 4,294,478 (314)

IMPROVING THE EFFICIENCY OF BIOMARKER IDENTIFICATION USING BIOLOGICAL KNOWLEDGE

Biocomputing 2009, 2008
Identifying and validating biomarkers from high-throughput gene expression data is important for understanding and treating cancer. Typically, we identify candidate biomarkers as features that are differentially expressed between two or more classes of samples.
John H, Phan, Qiqin, Yin-Goen, Andrew N, Young, May D, Wang   +3 more
openaire   +2 more sources

Robust Re-Identification by Multiple Views Knowledge Distillation

European Conference on Computer Vision, 2020
To achieve robustness in Re-Identification, standard methods leverage tracking information in a Video-To-Video fashion. However, these solutions face a large drop in performance for single image queries (e.g., Image-To-Video setting).
Angelo Porrello, Luca Bergamini, S. Calderara   +2 more
semanticscholar   +1 more source

Knowledge of word length does not constrain word identification

Psychological Research, 2003
Use of word length for word identification was examined in three naming experiments and one sentence reading experiment in which a foveally presented cue either matched or mismatched the length of a subsequently presented target word. Properties of the target were also manipulated so that it was either a high- or low-frequency word or so that its ...
Albrecht W, Inhoff, Brianna M, Eiter
openaire   +2 more sources

Current knowledge on the extraction, purification, identification, and validation of bioactive peptides from seaweed

Electrophoresis, 2020
Seaweed (macroalgae) is considered as a sustainable bioresource rich in high‐quality nutrients such as protein. Seaweed protein can be used as an alternative to other protein sources.
M. Cermeño, Thanyaporn Kleekayai, Miryam Amigo-Benavent, P. Harnedy-Rothwell, R. Fitzgerald   +4 more
semanticscholar   +1 more source

Merging of User's Knowledge into Identification Part of Self-Tuners

IFAC Proceedings Volumes, 1992
Abstract The problem of incorporating user's knowledge - possibly uncertain and/or contradictory - is inspected. Bayesian methodology together with a technique of generating fictitious data are used for computing appropriate initial conditions of recursive least squares for estimating parameters of Gaussian ARX model.
J. Böhm, M. Kárný
openaire   +1 more source

Knowledge Ontology: A Method for Empirical Identification of 'As-Is' Contextual Knowledge

Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 2005
In this paper, we consider existing approaches to ontology definition and validation. Popular techniques include the use of domain experts or reliance on formal logic. We consider these contemporary techniques, their motivation and limitations, and then suggest an empirical approach that statistically identifies knowledge ontology within contextual ...
T. Edgington, T.S. Raghu, A. Vinze
openaire   +1 more source

Knowledge Based Simulation and Identification of Metallurgical Reactors

IFAC Proceedings Volumes, 1992
Abstract This paper illustrates the application of a knowledge based system to perform fault-diagnosis and dynamic simulation of batch and continuous metallurgical and mineral processing systems. The proposed approach is essentially useful to simulate ill-defined dynamic processes where existing fundamental and empirical models fail owing to their ...
M.A. Reuter, J.S.J. van Deventer
openaire   +1 more source

Overview of PlantCLEF 2022: Image-based plant identification at global scale

Conference and Labs of the Evaluation Forum
It is estimated that there are more than 300,000 species of vascular plants in the world. Increasing our knowledge of these species is of paramount importance for the development of human civilization (agriculture, construction, pharmacopoeia, etc ...
H. Goëau, P. Bonnet, A. Joly
semanticscholar   +1 more source

Knowledge-based parameter identification of TSK fuzzy models

Applied Soft Computing, 2010
Linear/1st order Takagi-Sugeno-Kang (TSK) fuzzy models are widely used to identify static nonlinear systems from a set of input-output pairs. The synergetic integration of TSK fuzzy models with artificial neural networks (ANN) has led to the emergence of hybrid neuro-fuzzy models that can have excellent adaptability and interpretability at the same ...
Ashutosh Tewari, Mirna-Urquidi Macdonald
openaire   +1 more source

Individuality of alphabet knowledge in online writer identification

International Journal on Document Analysis and Recognition (IJDAR), 2010
Allograph prototype approaches for writer identification have been gaining popularity recently due to its simplicity and promising identification rates. Character prototypes that are used as allographs produce a consistent set of templates that models the handwriting styles of writers, thereby allowing high accuracies to be attained.
Tan, Guoxian, Viard-Gaudin, Christian, Kot, A. C.   +2 more
openaire   +2 more sources