Results 131 to 140 of about 37,022,143 (186)

Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images. [PDF]

Sci Rep, 2016
Sparks R, Madabhushi A.
europepmc   +1 more source

Content Based Image Retrieval using Query by Approximate Shape

Annals of computer science and information systems, 2016
Stanisław Deniziak, Tomasz Michno
doaj   +1 more source

Retrieval-related Eye Movements Are Predictive of Memory Precision. [PDF]

J Cogn Neurosci
Hou M, Pezanko LR, Srokova S, Hill PF, Ekstrom AD, Rugg MD.   +5 more
europepmc   +1 more source

Enhancing Image-Text Retrieval via Region-Grid Interaction and Semantic Calibration. [PDF]

Sensors (Basel)
Lu C, Feng M.
europepmc   +1 more source

UAV-Based Thermal Inversion for Canopy Temperature Retrieval and Precision Irrigation. [PDF]

Sensors (Basel)
Li H, Li W, Liu C, Ji L, Liu Z, Agarwal RK.   +5 more
europepmc   +1 more source

Multimodal contrastive learning for integrating molecular representations and cellular phenotypes in drug-target interaction prediction. [PDF]

Bioinformatics
Lai YJ, Liang T, Chen PY, Tsai YC, Tseng GC, Huang Y, Chiu YC.   +6 more
europepmc   +1 more source

Structured multi-level knowledge augmentation via small-to-large evidence-guided collaboration for knowledge-based VQA. [PDF]

Front Artif Intell
Zhang M, Wu D, Chung W.
europepmc   +1 more source

Construction of a fine-grained retrieval model for archival text-image based on the integration of scene graph generation and attention mechanism. [PDF]

PLoS One
Zhang M.
europepmc   +1 more source

Preprocessing for content-based image retrieval. [PDF]

, 2009
The research focuses on image retrieval problems where the query is formed as an image of a specific object of interest. The broad aim is to investigate pre-processing for retrieval of images of objects when an example image containing the object is given. The object may be against a variety of backgrounds.
Rodhetbhai, Wasara
core   +3 more sources

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Localized content based image retrieval

Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, 2005
We define localized content-based image retrieval as a CBIR task where the user is only interested in a portion of the image, and the rest of the image is irrelevant. In this paper we present a localized CBIR system, Accio, that uses labeled images in conjunction with a multiple-instance learning algorithm to first identify the desired object and ...
Rouhollah Rahmani, Sally A. Goldman, Hui Zhang 0010, Sharath R. Cholleti, Jason E. Fritts   +4 more
openaire   +4 more sources