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Showing 1 to 4 of 4 for “"word models"”.
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A uniform representation for visual concepts
… present a method for learning visually-grounded word meanings, given as input a set of videos paired with natural-language sentences describing them. Our method uses a uniform feature representation for all words and word types rather than relying on handcrafted features specific to each word. We …
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Computational Methods for the Measurement of Protein-DNA Interactions
… to short DNA sequences. Existing and new models of protein sequence specificty are investigated and their ability to predict genomic locations is evaluated. Public data from a micro-fluidic experiment is used to fit a matrix model of binding specificity for a single transcription factor. …
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Transitive Closure Logic and Multihead Automata with Nested Pebbles
… logics in the class of finite structures called word models. We show that deterministic twoway k-head automata with nested pebbles have the same expressive power as first-order logic with k-ary deterministic transitive closure. For a corresponding result in the case of nondeterministic automata, …
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Reasoning Across Language and Vision in Machines and Humans
… than just a collection of individual query words. This work assumes a compositional representation of events, composing sentence models from word models. Perhaps the reason why humans perform tasks such as the above with ease is because of a tight integration of language and vision …