Sentence examples for retrieval framework from inspiring English sources

In this paper, we propose a Markov random field (MRF) based probabilistic retrieval framework.

Third, for parallel processing SOR in distributed nodes, a MapReduce-based retrieval framework is presented.

To this end, we propose a fast view-based 3D model retrieval framework in this article.

In this paper, we introduce a retrieval framework that aims to combine the advantages of both VLAD and BOW.

This paper presents an image retrieval framework that uses affine image moment invariants as descriptors of local image areas.

This paper attempts to address this problem by proposing an information search and retrieval framework based on the semantically annotated multi-facet product family ontology.

We extend our recent benchmark for testing canonical form algorithms. Our new benchmark is used to evaluate a greater number of state-of-the-art canonical forms, on five recent non-rigid retrieval datasets, within two different retrieval frameworks.

Numerous latent topic-based image retrieval frameworks are available in the literature, and the majority of these approaches are based on graphical models.

In this regard, the following retrieval frameworks have been selected for comparison purpose, namely, Over Replicated Softmax Model (ORSM) [21], Replicated Softmax model (RS M [6], Rate Adapting Poisson model (RAP) [5], Pachinko Allocation Model (PAM) [15] and Latent Dirichlet Allocation (LDA) [2].

Fig. 4 Proposed image retrieval system framework.

A recent hybrid approach employs word confusion networks (WCNs) during ASR decoding and next incorporates a probabilistic phonetic retrieval (PPR) framework to deal with OOV terms [67].