In recent years, nonnegative matrix factorization (NMF) methods of a reduced image data representation attracted the attention of computer vision community. These methods are considered as a convenient part-based representation of image data for recognition tasks with occluded objects. A novel modification in NMF recognition tasks is proposed which utilizes the matrix sparseness control introduced by Hoyer. We have analyzed the influence of sparseness on recognition rates (RRs) for various dimensions of subspaces generated for two image databases, ORL face database, and USPS handwritten digit database. We have studied the behavior of four types of distances between a projected unknown image object and feature vectors in NMF subspaces generated for training data. One of these metrics also is a novelty we proposed. In the recognition phase, partial occlusions in the test images have been modeled by putting two randomly large, randomly positioned black rectangles into each test image.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2396239 | PMC |
| http://dx.doi.org/10.1155/2008/857453 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Fiber Sorbents - A Versatile Platform for Sorption-Based Gas Separations.
Acc Mater Res
January 2025
School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30322, United States.
Increasing demand for high-purity fine chemicals and a drive for process intensification of large-scale separations have driven significant work on the development of highly engineered porous materials with promise for sorption-based separations. While sorptive separations in porous materials offer energy-efficient alternatives to longstanding thermal-based methods, the particulate nature of many of these sorbents has sometimes limited their large-scale deployment in high-throughput applications such as gas separations, for which the necessary high feed flow rates and gas velocities accrue prohibitive operational costs. These processability limitations have been historically addressed through powder shaping methods aimed at the fabrication of structured sorbent contactors based on pellets, beads or monoliths, commonly obtained as extrudates.
View Article and Find Full Text PDFProtection of β2GPI-Deficient Mice from Thrombosis Reflects a Defect in PAR3-facilitated Platelet Activation.
Blood
January 2025
Cleveland Clinic, Cleveland, Ohio, United States.
Antibodies to β2-glycoprotein I (β2GPI) cause thrombosis in antiphospholipid syndrome, however the role of β2GPI in coagulation in vivo is not understood. To address this issue, we developed β2GPI-deficient mice (Apoh-/-) by deleting exon 2 and 3 of Apoh using CRISPR/Cas9 and compared the development of thrombosis in wild-type (WT) and Apoh-/- mice using rose bengal and FeCl3-induced carotid thrombosis, laser-induced cremaster arteriolar injury, and inferior vena cava (IVC) stasis models. We also compared tail bleeding times and activation of platelets from WT and Apoh-/- mice in the absence and presence of β2GPI.
View Article and Find Full Text PDFSelf-reported health status of patients with acute retinal ischemia and stroke related hemianopia.
Eur Stroke J
January 2025
Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Background: We aimed to assess impairments on health-related quality of life, and mental health resulting from Retinal artery occlusion (RAO) with monocular visual field loss and posterior circulation ischemic stroke (PCIS) with full or partial hemianopia using patient-reported outcome measures (PROMs).
Methods: In a prospective study, consecutive patients with acute RAO on fundoscopy and PCIS on imaging were recruited during their surveillance on a stroke unit over a period of 15 months. Baseline characteristics were determined from medical records and interviews.
A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching.
Front Robot AI
January 2025
Department of Materials and Production, Aalborg University, Aalborg, Denmark.
Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational resources. Many state-of-the-art methods for 6D pose estimation depend on deep neural networks, which are computationally demanding and require GPUs for real-time performance.
View Article and Find Full Text PDFObjective: To evaluate the impact of intrahepatic portal vein branching (IHPB)-grade assessment using preoperative CT angiography (CTA) on the surgical procedure and prognosis prediction for dogs with an extrahepatic portosystemic shunt (EHPSS).
Methods: This study involved 146 client-owned dogs with EHPSS. The shunt morphology of EHPSS and IHPB grades was determined using CTA.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!