Sentence examples for mapping we use from inspiring English sources

After feature mapping, we use the dereverberated features for acoustic modeling.

For feature mapping, we use the same method as we do with ImageNet 10.

In the audio visual mapping, we use Fused HMMs of the first layer to select the best cluster.

Let T : C → C be a mapping, We use F (T) to denote the set of fixed points of T. We also use "→" to stand for strong convergence and "⇀" for weak convergence.

Consider the fixed point problem operatorname{Fix}(S):={xin C: x=Sx}, where (S Crightarrow C) is a mapping, we use (operatorname{Fix}(S)) to denote the fixed point set of S. If C is a bounded, closed and convex subset of H, then (operatorname{Fix}(S)) is not empty; see [1].

Let H be a real Hilbert space with an inner product 〈, 〉 and norm ∥ ⋅ ∥, and C be a nonempty closed convex subset of H. Let S : C → C be a nonlinear mapping, we use Fix ( S ) to denote the set of fixed points of S (i.e., Fix ( S ) = { x ∈ C : S x = x } ).

After mapping, we used samtools sort and mpileup commands (Li and Durbin 2009) to parse the mapping results.

In individual family mapping, we used the family in which a rare QTL was segregating.

For retinotopic mapping we used 25 horizontal slices (TR = 3000 ms, TE = 30; 64×64 matrix, voxel size 3×3×3 mm).

To demonstrate that a transcriptome assembled de novo can serve as a reference sequence for short-read mapping, we used the short read alignment program BWA to map three paired-end lanes of Illumina sequence to the final contig set.

For human WG mapping we used the NCBI36/hg18 assembly as our mapping reference.