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Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent ...
Local binary pattern (LBP) and its variants have shown promising results in visual recognition applications. However, most existing approaches rely on a pre-defined structure to extract LBP features.
The dependency structure language model was proposed to overcome the limitation of unigram and bigram models in topic detection and tracking (TDT). But its structure is based on mathematical models, ...