Sentence examples for approach for encoding from inspiring English sources

This chapter presents an approach for encoding a planning problem into a CSP and then extracting a plan from the solution of that CSP.

In order to identify the species depicted in an image, the authors use dense SIFT and cell-structured LBP (cLBP) as local image descriptors and introduce an improved sparse coding spatial pyramid matching (ScSPM) approach for encoding the multiple local features into a global image description.

We present an approach for encoding and specifying selections in recursive pattern hierarchies.

Specifically, the approach calls for encoding the probabilistic model, typically a Bayesian network, as a propositional knowledge base in conjunctive normal form (CNF) with weights associated to each model according to the network parameters.

A detailed approach is described for the vibrational spectroscopic encoding of polystyrene-based resin beads by converting the infrared absorption peaks suitable for encoding (encoding peaks) into barcodes.

The bias introduced by the LVCSR pronunciation dictionary and language model is reduced through the use of a bag-of-phones approach that allows for encoding richer decoding alternatives.

To that end, novel approaches for encoding and recognizing the projected light are used, which make the system practically independent of intrinsic object colors and minimize the influence of the ambient light conditions.

Until now, there had been, however, no tool for the visualization of the resulting networks taking full advantage of Simmune's approach for visually encoded molecular interactions.

3 Developing a similar, powerful exchange format for pharmacometrics is challenging, because the tools available in this area use a variety of approaches for model encoding.

Motivated by these results, we aim to implement SP-DTCs which can approach theoretical performance predicted in Section 3.1.1 using TCQ and SW coding for encoding transform coefficients.

In this paper, we propose a novel formulation for encoding state constraints into the Linear Programming approach to Approximate Dynamic Programming via the use of penalty functions.