sparse vectorの例文

例文

1. For a generic case we consider " ? " as a sparse vector
2. Possibly you could also send some sparse vector line drawings, like a map.
3. :There's also some possibility of sending animations, although they would be severely limited, and again use only sparse vector images or heavily compressed bitmaps.
4. One of the reasons for the popularity of cosine similarity is that it is very efficient to evaluate, especially for sparse vectors, as only the non-zero dimensions need to be considered.
5. that represents the subject s anthropometric features as a linear superposition of the anthropometric features from the training data ( y = ? X ), and then apply the same sparse vector directly on the scaling vector H . We can write this task as a minimization problem, for a non-negative shrinking parameter " ? ":