Tagged articles

Preprocessing

8 articles · Page 1 of 1

Jun 29, 2026 · Artificial Intelligence

NLP Basics: Core Concepts, Task Types, and Preprocessing Steps

The article introduces Natural Language Processing as an AI subfield, outlines its four main task categories—classification to sequence, sequence to classification, synchronous and asynchronous seq‑to‑seq—and details the typical preprocessing pipeline including corpus collection, cleaning, tokenization, stemming, lemmatization, POS tagging, NER, and chunking.

NLPPreprocessingTask Types

0 likes · 3 min read

NLP Basics: Core Concepts, Task Types, and Preprocessing Steps

Liangxu Linux

Apr 12, 2023 · Fundamentals

Mastering the GCC Toolchain: From Preprocessing to ELF Analysis

This guide explains how high‑level C/C++ source code is transformed into executable binary code on Linux using the GCC toolchain, covering preprocessing, compilation, assembly, linking, and ELF file inspection with practical command examples.

CompilationELFLinux

0 likes · 15 min read

Mastering the GCC Toolchain: From Preprocessing to ELF Analysis

DataFunSummit

Feb 15, 2023 · Artificial Intelligence

Accelerating Computer Vision Pipelines with CV‑CUDA: Reducing Complexity and Boosting Performance

This article examines how moving image pre‑ and post‑processing to GPU with NVIDIA's CV‑CUDA reduces software complexity, alleviates CPU bottlenecks, and delivers up to thirty‑fold throughput gains for computer‑vision workloads across training and inference pipelines.

CV-CUDAGPU AccelerationPerformance Optimization

0 likes · 17 min read

Accelerating Computer Vision Pipelines with CV‑CUDA: Reducing Complexity and Boosting Performance

DataFunTalk

Feb 11, 2023 · Artificial Intelligence

Accelerating Computer Vision Pipelines with CV-CUDA: Reducing Complexity and Performance Bottlenecks

This article explains how moving image preprocessing and post‑processing to GPU with the open‑source CV‑CUDA library dramatically reduces system complexity, eliminates CPU‑GPU bottlenecks, and delivers up to thirty‑fold performance gains for computer‑vision workloads across training and inference stages.

CV-CUDAGPU AccelerationImage processing

0 likes · 16 min read

Accelerating Computer Vision Pipelines with CV-CUDA: Reducing Complexity and Performance Bottlenecks

IT Services Circle

Feb 9, 2022 · Fundamentals

Range Maximum Query Using Sparse Table – Theory, Preprocessing, and C++ Implementation

This article explains how to answer range maximum queries on a static array efficiently by preprocessing with a sparse table, achieving O(n log n) build time and O(1) query time, and provides a complete C++ implementation with state compression and interval decomposition.

C++PreprocessingRMQ

0 likes · 7 min read

Range Maximum Query Using Sparse Table – Theory, Preprocessing, and C++ Implementation

Python Programming Learning Circle

Jan 22, 2022 · Fundamentals

Comprehensive Guide to Data Processing, Cleaning, and Visualization with Pandas

This tutorial walks through using pandas to import, review, preprocess (including integration, cleaning, transformation, handling missing and duplicate values, outlier detection, and sampling), analyze (descriptive statistics and correlation), and visualize e‑commerce data with Python, providing practical code examples for each step.

PandasPreprocessingdata cleaning

0 likes · 17 min read

Comprehensive Guide to Data Processing, Cleaning, and Visualization with Pandas

DataFunTalk

Nov 26, 2021 · Artificial Intelligence

Solving Model Prediction Errors: A Comprehensive Bad‑Case Treatment Methodology

This article presents a step‑by‑step methodology for diagnosing and fixing model prediction errors—especially bad cases—in NLP and search systems, covering sample bias, threshold selection, preprocessing, post‑processing, validation cycles, and guidance on when to replace the model.

NLPPostProcessingPreprocessing

0 likes · 11 min read

Solving Model Prediction Errors: A Comprehensive Bad‑Case Treatment Methodology

Qunar Tech Salon

Aug 8, 2016 · Artificial Intelligence

OCR Technology Overview and Implementation Steps for Card Number Recognition

This article provides a comprehensive overview of OCR technology, explains its definition and application scenarios, and details a five‑step workflow—including target extraction, preprocessing, character localization, digit matching, and format validation—specifically illustrated with bank card number recognition.

Bank Card RecognitionImage processingMorphological Operations

0 likes · 9 min read

OCR Technology Overview and Implementation Steps for Card Number Recognition