Results 91 to 100 of about 733,862 (315)

Artificial Immune Systems: A Novel Approach to Pattern Recognition [PDF]

open access: yes, 2002
This chapter introduces a new computational intelligence paradigm to perform pattern recognition, named Artificial Immune Systems (AIS). AIS take inspiration from the immune system in order to build novel computational tools to solve problems in a vast ...
Timmis, Jon, de Castro, Leandro N.
core  

SteuerLLM: local specialized large language model for German tax law analysis

open access: yesScientific Reports
Large language models (LLMs) demonstrate strong general reasoning and language understanding, yet their performance degrades in domains governed by strict formal rules, precise terminology, and legally binding structure.
Sebastian Wind   +10 more
doaj   +1 more source

Pattern Recognition in Video [PDF]

open access: yes, 2005
Images constitute data that live in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from correlated data of such high dimensions often becomes intractable. Therefore traditionally several of these problems like face recognition, object recognition, scene understanding etc.
Rama Chellappa   +2 more
openaire   +1 more source

Survival by Race and Ethnicity in Children and Adolescents/Young Adults With Relapsed/Refractory Hodgkin Lymphoma: A Pooled Analysis of Children's Oncology Group Trials

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Despite 5‐year survival rates of over 90% among children and adolescents/young adults (CAYAs) with classic Hodgkin lymphoma (cHL), 15%–20% relapse after frontline therapy. Prior analysis of frontline Children's Oncology Group (COG) clinical trials demonstrated that, despite similar rates of relapse, non‐Hispanic Black (NHB) and ...
Mallorie B. Heneghan   +14 more
wiley   +1 more source

Is face recognition really a compressive sensing problem? [PDF]

open access: yes, 2011
Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this work is not supported by the data.
Hengel, Anton van den   +12 more
core   +1 more source

APA: Adaptive Pose Alignment for Pose-Invariant Face Recognition

open access: yesIEEE Access, 2019
Face alignment is a crucial step in face recognition. Through making the position of face consistent, face alignment reduces intra-class variability due to factors such as lighting, background, pose, and perspective transformation, and further ...
Zhanfu An   +4 more
doaj   +1 more source

Recognition of Defocused Patterns

open access: yesIPSJ Transactions on Computer Vision and Applications, 2014
The paper addresses the recognition problem of defocused patterns. Though recognition algorithms as- sume that the input images are focused and sharp, it does not always hold on actual camera-captured images. Thus, a recognition method that can recognize defocused patterns is required.
Masakazu Iwamura   +3 more
openaire   +2 more sources

The Relationship Between Physical Activity and Left Ventricular Remodeling in Childhood Cancer Survivors Treated With Anthracyclines: A Cross‐Sectional Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Anthracycline‐related cardiac remodeling precedes heart failure in childhood cancer survivors. The objectives of this study were to determine the relationships between patient‐specific factors, moderate‐to‐vigorous physical activity (MVPA), and cardiac remodeling.
Hari K. Narayan   +15 more
wiley   +1 more source

Human emotion and StO2: Dataset, pattern, and recognition of basic emotions [PDF]

open access: yes
Emotions can be recognized through facial expressions, but this becomes challenging when facial expressions are deliberately manipulated. This study introduces tissue oxygen saturation (StO2), a non-contact measured physiological signal of hemoglobin ...
Liu, Xinyu   +5 more
core   +1 more source

Comparing Different Template Features for Recognizing People by Their Gait [PDF]

open access: yes, 1998
To recognize people by their gait from a sequence of images, we have proposed a statistical approach which combined eigenspace transformation (EST) with canonical space transformation (CST) for feature transformation of spatial templates.
Nixon, M.S.   +5 more
core   +1 more source

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