The phrase "approach which exploits" is correct and usable in written English.
It can be used when discussing a method or strategy that takes advantage of certain resources or opportunities.
Example: "The research team developed an approach which exploits the latest advancements in technology to improve efficiency."
Alternatives: "method that utilizes" or "strategy that leverages".
We present a novel image segmentation approach which exploits multiple over-segmentations and achieves segmentation results by hierarchical region merging.
A comparative study with another approach which exploits differently estimation errors, namely adaptive boosting for regression (AdaBoost.R), is also included.
Thus, we propose another approach, which exploits the discriminating nature of well-designed binary codes and does not incur any data loss.
Cucchiara et al. [20] proposed an approach which exploits color information for both background subtraction and shadow detection to improve object segmentation and background update.
In this paper, we propose a non-local background modelling approach, which exploits the semi-periodic nature of the videos and overcomes the limitations of other approaches.
A recently proposed Monte Carlo approach, which exploits the proven statistical optimality of the MBAR estimator in order to improve simulation efficiency, was used.
In general, the problem of the modelization of the cluster behavior has followed either atomistic (bottom-up) approaches, which exploits ab initio techniques of the quantum chemistry, or top-down approaches, describing the cluster as a mesoscopic piece of bulk to be treated in the solid-state or statistical physics framework.
This review focuses on recent approaches, which exploit reversible covalent and noncovalent chemistry in combination with peptide-based self-assembly.
The simplicity along with the effectiveness of the k-nearest neighbors (kNN) algorithm, have motivated many research communities over the years with numerous applications and scientific approaches which exploit or improve its potential, especially in spatial databases and data mining.
Unlike the previously proposed approaches which exploit BLSTM modeling by generating a discrete phoneme prediction feature, our feature extractor merges continuous high-level probabilistic BLSTM features with low-level features.
Anyway, these performances are beyond the maximum performances observed in (18) with dictionary-based approaches, which exploit similarities between the input text and GO concepts themselves.
