3,135 articles
ORB (feature descriptor)
ORB (Oriented FAST and Rotated BRIEF) is a fast binary feature descriptor and keypoint detector for computer vision, published in 2011 as an alternative to SIFT and SURF.
Organic electrochemical neuron
An organic electrochemical neuron (OECN) is an artificial neuron built from organic electrochemical transistors that spike through ion-mediated dynamics like biological neurons, first proposed in 2022 for neuromorphic sensing and bioelectronic systems.
Orthorectification
Orthorectification is a remote sensing image processing method that removes geometric distortions from aerial or satellite imagery caused by sensor tilt, viewing geometry, and terrain relief, producing a map-accurate orthoimage.
Otsu's method
Otsu's method, also called Otsu's algorithm, is an automatic image thresholding technique in image segmentation that Nobuyuki Otsu published in 1979, choosing the threshold that best separates two pixel classes.
Out-of-distribution detection
Out-of-distribution detection is a machine learning method that scores how unfamiliar an input is, letting a classifier reject inputs unlike its training data instead of confidently misclassifying them.
Outbrain
Outbrain is a content recommendation and native advertising company founded in 2006 by Yaron Galai and Ori Lahav, known for its "Content You May Like" widgets on publishers' websites.
Overfitting
Overfitting is a failure mode in machine learning where a model fits its training data, including random variation, so closely that it predicts poorly on new, unseen data.
Overlay analysis
Overlay analysis is a geographic information system technique combining two or more spatial data layers, such as land use and soils, to identify areas meeting combined criteria.
Oversampling (machine learning)
Oversampling is a data-level technique for imbalanced classification that adds minority-class samples by duplicating or synthesizing them; the best-known method, SMOTE, interpolates between neighboring samples and was introduced in 2002.
P system
A P system, or membrane system, is a parallel computing model abstracting a living cell, introduced by Gheorghe Păun in 1998; many classes are computationally universal.
P-complete
A P-complete problem is a decision problem in P to which every other problem in P reduces under NC reductions; if any such problem had an efficient parallel algorithm, then NC equals P.
P300 brain-computer interface
A P300 brain-computer interface (P300 BCI) is a non-invasive system that detects the P300 EEG signal, letting users spell or control devices by attention alone.
Pachyderm (software)
Pachyderm was an open-source data versioning and pipeline platform built on Kubernetes, with the PFS versioned file system, pachd daemon, and language-agnostic containerized pipelines; launched 2015, discontinued after its later acquisition.
PackNet
PackNet is a continual learning method for deep neural networks, introduced by Mallya and Lazebnik at CVPR 2018, that adds tasks by pruning and freezing weights.
PaddlePaddle
PaddlePaddle (飞桨, "flying oar") is an open-source deep learning framework developed by Baidu, first released in 2016 and described as China's first self-developed industrial platform.
PageRank
PageRank, Google's algorithm, is a link-analysis method that assigns importance scores to web pages, developed by Larry Page and Sergey Brin at Stanford University in the late 1990s.
PaiNN
PaiNN, short for polarizable atom interaction neural network, is a graph neural network for molecules that extends message passing with equivariant vector features, proposed at ICML 2021 by Schütt, Unke, and Gastegger of TU Berlin.
Pakistani passport (پاکستانی پاسپورٹ)
The Pakistani passport (پاکستانی پاسپورٹ), or Passport of Pakistan, is the travel document issued to Pakistani citizens by the Directorate General of Immigration & Passports.
Palantir Foundry
Palantir Foundry, Palantir's data operations platform launched commercially in 2016, integrates enterprise data, logic, and actions through the Palantir Ontology, within the AIP-Foundry-Apollo architecture, serving commercial and government customers.
Palantir Technologies
Palantir Technologies is an American software company founded in 2003 by Peter Thiel and Alex Karp that builds data analytics platforms for governments and large enterprises.
Palmprint recognition
Palmprint recognition is a biometric method in computer vision that authenticates people by matching line, texture, and orientation patterns from palm images, used in access control and payment.
PandasAI
PandasAI, also written pandas-ai, is an open-source MIT-licensed Python library by Sinaptik-AI that lets users query pandas DataFrames and databases conversationally via LLMs; created by Gabriele Venturi in April 2023, YC W24, CVE-2024-12366 prompt injection noted.
Pandera
Pandera is an open-source Python dataframe validation library by Niels Bantilan (2018), maintained by Union.ai under MIT license. It validates pandas, Polars, PySpark, Ibis, and PyArrow data against declared schemas with checks and hypothesis tests.
Panoptic segmentation
Panoptic segmentation is a computer vision task combining semantic and instance segmentation, proposed by Kirillov and colleagues at Facebook AI Research in 2018, with the panoptic quality metric.
Parallel Algorithms
Parallel algorithms perform multiple operations simultaneously on multiprocessors. Key ideas: work-efficiency, PRAM and BSP models, NC versus P-complete problems, Amdahl's law speedup limits, and MapReduce simulation results.
Parallel Random Access Machine
The Parallel Random Access Machine (PRAM) is an abstract model of parallel computation where synchronous processors share one unbounded memory, with variants EREW, CREW, and CRCW.
Parameterized complexity
Parameterized complexity is a branch of computational complexity theory that measures problem difficulty by input size plus a secondary parameter, developed by Rod Downey and Michael Fellows.
Pareto front
The Pareto front, also called the Pareto frontier or Pareto curve, is the set of Pareto optimal solutions showing the best tradeoffs among conflicting objectives in multi-objective optimization.
Part-of-speech tagging
Part-of-speech tagging is the natural language processing task of assigning each word in a text a syntactic label such as noun or verb, with modern English taggers reaching about 97% accuracy.
Participatory sensing
Participatory sensing is a data collection method in mobile computing, introduced in 2006, in which volunteers use mobile phones to gather and share local environmental measurements.