MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval.

08:00 EDT 10th September 2019 | BioPortfolio

Summary of "MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval."

Hashing has recently sparked a great revolution in cross-modal retrieval because of its low storage cost and high query speed. Recent cross-modal hashing methods often learn unified or equal-length hash codes to represent the multi-modal data and make them intuitively comparable. However, such representations could inherently sacrifice their representation scalability because the data from different modalities may not have one-to-one correspondence and could be encoded more efficiently by different hash codes of unequal lengths. To mitigate these problems, this paper exploits a related and relatively unexplored problem: encode the heterogeneous data with varying hash lengths and generalize the cross-modal retrieval in various challenging scenarios. To this end, a generalized and flexible cross-modal hashing framework, termed Matrix Tri-Factorization Hashing (MTFH), is proposed to work seamlessly in various settings including paired or unpaired multi-modal data, and equal or varying hash length encoding scenarios. MTFH exploits an efficient objective function to flexibly learn modality-specific hash codes with different length settings, while synchronously learning two semantic correlation matrices for heterogeneous data comparable. As a result, the derived hash codes are more semantically meaningful for various challenging cross-modal retrieval tasks. Extensive experiments evaluated on public benchmark datasets highlight the superiority of MTFH under various retrieval scenarios and show its competitive performance with the state-of-the-arts.


Journal Details

This article was published in the following journal.

Name: IEEE transactions on pattern analysis and machine intelligence
ISSN: 1939-3539


DeepDyve research library

PubMed Articles [14600 Associated PubMed Articles listed on BioPortfolio]

Discrete Latent Factor Model for Cross-Modal Hashing.

Due to its storage and retrieval efficiency, cross-modal hashing (CMH) has been widely used for cross-modal similarity search in many multimedia applications. According to the training strategy, exist...

A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data.

Single-cell RNA sequencing (scRNAseq) data always involves various unwanted variables, which would be able to mask the true signal to identify cell-types. More efficient way of dealing with this issue...

Discriminative Cross-Modal Transfer Learning and Densely Cross-Level Feedback Fusion for RGB-D Salient Object Detection.

This article addresses two key issues in RGB-D salient object detection based on the convolutional neural network (CNN). 1) How to bridge the gap between the ``data-hungry'' nature of CNNs and the ins...

Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning.

Representing images by compact hash codes is an attractive approach for large-scale content-based image retrieval. In most state-of-the-art hashing-based image retrieval systems, for each image, local...

Generalized Zero-Shot Cross-Modal Retrieval.

Cross-modal retrieval is an important research area due to its wide range of applications and several algorithms have been proposed to address this task. We feel that it is the right time to take a st...

Clinical Trials [3470 Associated Clinical Trials listed on BioPortfolio]

Developmental Dyslexia and Remediation Methods

At least, three theoretical frameworks are currently involved in therapeutic research in developmental dyslexia. Each theoretical framework relies on the type of underlying cognitive proce...

Study Assessing the Safety and Performance of Smart Matrix®

Smart Matrix is a sterile, single layer dermal replacement scaffold. The scaffold consists of a porous matrix of cross-linked human fibrin plus alginate that has been designed and optimise...

Comparison Between Injection Molded PEEK Framework and Cobalt Chromium Framework in Removable Partial Denture Regarding Retention

This study is aiming to evaluate the retentive forces in PEEK framework RPD compared to Cobalt-Chrome framework RPD during attachment/detachment cycles in mandibular kennedy class I edentu...

Clinical Evaluation of Sectional Matrix Versus Circumferential Matrix for Reproduction of Proximal Contact

The aim of this study is to evaluate the effects of different matricing techniques either sectional matrix or circumferential matrix on reproduction of optimum proximal contacts and contou...

Multi-modal Imaging and Artificial Intelligence Diagnostic System for Multi-level Clinical Application

This study is to build an multi-modal artificial intelligence ophthalmological imaging diagnostic system covering multi-level medical institutions. We are going to evaluate this system in ...

Medical and Biotech [MESH] Definitions

A secreted matrix metalloproteinase that is the predominant proteolytic activity in the enamel matrix. The enzyme has a high specificity for dental enamel matrix protein AMELOGENIN.

A transmembrane domain-containing matrix metalloproteinase. It is synthesized as an inactive zymogen that is activated by the proteolytic action of PROPROTEIN CONVERTASES. Matrix metalloproteinase 16 plays a direct role in the cleavage of proteins in the pericellular environment. In addition it can function indirectly by enzymatically activating the proprotein form of other MATRIX METALLOPROTEINASES such as the zymogen of MATRIX METALLOPROTEINASE 2.

A secreted matrix metalloproteinase that is believed to play a role in EXTRACELLULAR MATRIX remodeling and cell fate determination during normal and pathological processes. Matrix metalloproteinase 11 was originally isolated in primary BREAST NEOPLASMS and may be involved in the process of tumorigenesis.

A transmembrane domain-containing matrix metalloproteinase. It is synthesized as an inactive zymogen that is activated by the action of PROPROTEIN CONVERTASES such as FURIN. Matrix metalloproteinase 14 plays a direct role in the cleavage of proteins in the pericellular environment. In addition it can function indirectly by enzymatically activating the proprotein form of MATRIX METALLOPROTEINASE 15.

The residual framework structure of the CELL NUCLEUS that maintains many of the overall architectural features of the cell nucleus including the nuclear lamina with NUCLEAR PORE complex structures, residual CELL NUCLEOLI and an extensive fibrogranular structure in the nuclear interior. (Advan. Enzyme Regul. 2002; 42:39-52)

Quick Search

DeepDyve research library

Searches Linking to this Article