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How Early Medical Image AI Turned Scans Into Findings
A look at 2000s medical image AI: how detection pipelines worked across CT, mammography and MRI, and why evaluation design mattered.
Biometric Security in the 2000s: Beyond Match Accuracy
How fingerprint, face, and iris systems were evaluated and deployed in the 2000s, from capture quality and standards to operational errors and privacy.
How Academic Machine Learning Took Shape in the 2000s
A look at the models, datasets and evaluation practices that shaped 2000s research in speech recognition, computer vision and medical imaging.
How Language Identification Worked in the 2000s
A look at mid-2000s speech language identification: acoustic and phonotactic models, score fusion, low-resource languages, and the limits of evaluation.
Document Processing in the Mid-2000s: Beyond OCR
How mid-2000s document systems combined image cleanup, layout analysis, OCR, field extraction, and human review to turn scanned pages into usable records.
How Statistical Methods Changed Speech Synthesis in the 2000s
A look at 2000s speech synthesis: how unit selection and HMM-based voice models worked, why they sounded different, and what listening tests revealed.
How Conferences Shaped AI Research in the 2000s
A look at how 2000s AI conferences shaped benchmarks, methods and publication practices across speech, vision and machine learning.
Object Tracking in the 2000s: Motion, Occlusion, and Identity
How 2000s visual trackers predicted motion, handled occlusion, matched detections, and measured identity errors across video frames.
What Small Speech Corpora Could—and Couldn’t—Show in the 2000s
How 2000s speech researchers built and tested recognizers for under-resourced languages, from acoustic transfer and lexicons to careful evaluation.