Although information extraction and data mining appear together in many applications, their interface in most current systems would better be described as serial juxtaposition than as tight integration. Information extraction populates slots in a database by identifying relevant subsequences of text, but is usually not aware of the emerging patterns and regularities in the database. Data mining...

Urea based protein extraction of formalin-fixed paraffin-embedded (FFPE) tissue provides the most efficient workflow for proteomics due to its compatibility with liquid chromatography electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS). This study optimizes the use of urea for proteomic analysis of clinical FFPE tissue. A series of protein extraction conditions manipulating temperat...

Scale Invariant Feature Transform (SIFT) is a popular image feature extraction algorithm. SIFT’s features are invariant to many image related variables including scale and change in viewpoint. Despite its broad capabilities, it is computationally expensive. This characteristic makes it hard for researchers to use SIFT in their works especially in real time application. This is a common problem ...

Abstract The extracted building information can be widely applied in urban planning, land resource management, and other related fields. This paper proposes a novel method for extraction, which aims to improve the accuracy of extraction process. combines bi-directional feature pyramid with location-channel attention serial fusion module (L-CAFSFM). By using ResNeXt101 network, more precise abun...

Automated 3D Reconstruction of Neuronal Structures from Serial Sections. (August 1999) Brent P. Burton, B.S., Texas A&M University Chair of Advisory Committee: Dr. Bruce H. McCormick A fast automated system for tracing neurons in parallel is described, adequate to support a quantitative analysis of neuron morphology. The system described here automates digitized neuron feature extraction and re...