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Point process
Known as:
Conditional intensity function
, Intensity function
, Point process theory
In statistics and probability theory, a point process is a type of random process for which any one realisation consists of a set of isolated points…
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Related topics
Related topics
6 relations
Computational neuroscience
Continuum percolation theory
Neural coding
Queueing theory
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Non Homogeneous Poisson Process Modelling of Seasonal Extreme Rainfall Events in Tanzania
2016
Corpus ID: 53459121
Extreme rainfall events due to heavy rainfall can vary greatly. This variability can be explained by different factors such as…
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2010
2010
Local Delay in Static and Highly Mobile Poisson Networks with ALOHA
M. Haenggi
IEEE International Conference on Communications
2010
Corpus ID: 1747382
Communication between two neighboring nodes is the most basic operation in wireless networks. Yet very little research has…
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Highly Cited
2006
Highly Cited
2006
Analytical solutions to sampling effects in drop size distribution measurements during stationary rainfall
R. Uijlenhoet
,
J. M. Porrà
,
D. Torres
,
J. Creutin
2006
Corpus ID: 55814679
Highly Cited
2006
Highly Cited
2006
Reliability Growth Modeling for Software Fault Detection Using Particle Swarm Optimization
A. Sheta
International Conference on Evolutionary…
2006
Corpus ID: 2157394
Modeling the software testing process to obtain the predicted faults (failures) depends mainly on representing the relationship…
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2006
2006
Development of High-Resolution Acoustic Camera based Real-Time Object Recognition System by using Autonomous Underwater Vehicles.
Son-cheol Yu
,
Tae-Won Kim
,
Akira Asada
,
Scott Weatherwax
,
Ben Collins
,
J. Yuh
Oceans
2006
Corpus ID: 8098064
This paper addresses acoustic camera DIDSON based object recognition method for AUVs (Autonomous Underwater Vehicles). The…
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2001
2001
Decomposition of Event Sequences into Independent Components
H. Mannila
,
Dmitry M. Rusakov
SDM
2001
Corpus ID: 714912
Many real-world processes result in an extensive logs of sequences of events, i.e., events coupled with time of occurrence…
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2001
2001
Finding simple intensity descriptions from event sequence data
H. Mannila
,
Marko Salmenkivi
Knowledge Discovery and Data Mining
2001
Corpus ID: 17304174
Sequences of events are an important type of data arising in various applications, including telecommunications, bio-statistics…
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1995
1995
Active Contour Models for Shape Description using Multiscale Differential Invariants
J. Schnabel
,
S. Arridge
British Machine Vision Conference
1995
Corpus ID: 15468720
Classic curvature-minimizing active contour models are often incapable of extracting complex shapes with points of high curvature…
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Review
1983
Review
1983
A test for multidimensional clustering tendency
E. Panayirci
,
R. Dubes
Pattern Recognition
1983
Corpus ID: 874581
1982
1982
Directionality of acoustic orientation in flying crickets
G. Pollack
,
Normand Plourde
Journal of Comparative Physiology
1982
Corpus ID: 20357575
SummaryAbdominal flexions associated with flight steering were measured in tethered flyingTeleogryllus oceanicus stimulated with…
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