منابع مشابه
Unsupervised Surgical Task Segmentation with Milestone Learning
Surgical tasks are complex multi-step sequences of smaller subtasks (often called surgemes) and it is useful to segment task demonstrations into meaningful subsequences for:(a) extracting finite-state machines for automation, (b) surgical training and skill assessment, and (c) task classification. Existing supervised methods for task segmentation use segment labels from a dictionary of motions ...
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our governors, it is interesting to reflect that the increase in survival will lead to cosmetic concerns and a larger number of benign and malignant skin tumors, which will require the dermatologist to set up the therapeutic strategies necessary for the effective diagnosis and treatment of these conditions in which surgery is the first therapeutic option. At this point, and recognizing the need...
متن کاملPseudo-Supervised Training Improves Unsupervised Melody Segmentation
An important aspect of music perception in humans is the ability to segment streams of musical events into structural units such as motifs and phrases. A promising approach to the computational modeling of music segmentation employs the statistical and information-theoretic properties of musical data, based on the hypothesis that these properties can (at least partly) account for music segmenta...
متن کاملUNSUPERVISED TRAINING OF A SPEECH RECOGNIZER : RECENTEXPERIMENTSThomas
Current speech recognition systems require large amounts of transcribed data for parameter estimation. The transcription , however, is tedious and expensive. In this work we describe our experiments which are aimed at training a speech recognizer with only a minimal amount (30 minutes) of transcriptions and a large portion (50 hours) of un-transcribed data. A recognizer is bootstrapped on the t...
متن کاملViterbi Training Improves Unsupervised Dependency Parsing
We show that Viterbi (or “hard”) EM is well-suited to unsupervised grammar induction. It is more accurate than standard inside-outside re-estimation (classic EM), significantly faster, and simpler. Our experiments with Klein and Manning’s Dependency Model with Valence (DMV) attain state-of-the-art performance — 44.8% accuracy on Section 23 (all sentences) of the Wall Street Journal corpus — wit...
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ژورنال
عنوان ژورنال: BMJ
سال: 1997
ISSN: 0959-8138,1468-5833
DOI: 10.1136/bmj.315.7118.1306a