Results 161 to 170 of about 17,596 (202)
Some of the next articles are maybe not open access.
ACM SIGCSE Bulletin, 2001
The last few years has seen renewed interest in teaching programming-in-the-large (PIL) and programming-in-context of a larger existing program (PIC) throughout the computer science curriculum. Although these skills have been a focus of software engineering courses and capstone projects, there is an emphasis to teach these skills in other courses ...
L. A. Smith King, John Barr, Ben Coleman
openaire +1 more source
The last few years has seen renewed interest in teaching programming-in-the-large (PIL) and programming-in-context of a larger existing program (PIC) throughout the computer science curriculum. Although these skills have been a focus of software engineering courses and capstone projects, there is an emphasis to teach these skills in other courses ...
L. A. Smith King, John Barr, Ben Coleman
openaire +1 more source
Unmixing with SLIC superpixels for hyperspectral change detection
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Change detection by unmixing has been shown to provide enhanced change detection performance for hyperspectral images with respect to more traditional approaches, especially when the temporal images contain sub-pixel level changes. In a recent paper, change detection by spectral unmixing was investigated in detail and the advantages that can be gained ...
Plaza, Antonio +2 more
openaire +2 more sources
SLIC (Simple Line Interface Calculation)
1976SLIC is an alternating-direction method for the geometric approximation of fluid interfaces. It may be used in one, two, or three space dimensions, and it is characterized by the following features: (1) Fluid surfaces are represented locally for each mixed- fluid zone, and these surfaces are defined as a composition of one space dimensional components,
W. F. Noh, Paul Woodward
openaire +1 more source
Semantic Learning for Image Compression (SLIC)
2020Image compression is an ever-evolving problem with different approaches coming into prominence at different times. Data analysts are still contemplating about the best approach with compression ratio, visual quality and complexity of the architecture as the main criteria of evaluation.
Kushal Mahalingaiah +3 more
openaire +1 more source
Noise-Robust SLIC Superpixel for Natural Images
2016 7th International Conference on Cloud Computing and Big Data (CCBD), 2016Superpixel algorithm aims to semantically group neighboring pixels into a coherent region. It could significantly boost the performance of the subsequent vision processing task such as image segmentation. Recently, the work simple linear iterative clustering (SLIC) [1] has drawn huge attention for its state-of-the-art segmentation performance and high ...
Li Dong, Jiantao Zhou
openaire +1 more source
SLIC-a simulator for linear integrated circuits
IEEE Journal of Solid-State Circuits, 1971A computer program for the simulation of linear integrated circuits (SLIC) is described. The program formulates and solves nonlinear equations for d.c. node voltages and transistor operating points; generates linearized small-signal circuit models; and solves for the poles, zeros, frequency response, and noise response of specified transfer functions ...
T.E. Idleman +3 more
openaire +1 more source
Canny SLIC to Compute Content-Sensitive Superpixels
2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2018Superpixel segmentation is becoming a ubiquitous initial preprocessing step in computer vision applications. It is important that the resulting superpixels preserve image boundaries. The simple linear iterative clustering (SLIC) algorithm is a popular method for superpixel segmentation.
Yousef Abu Baker, Iker Gondra
openaire +1 more source
NSLIC: SLIC superpixels based on nonstationarity measure
2015 IEEE International Conference on Image Processing (ICIP), 2015Superpixels become more and more popular as image preprocessing step in computer vision applications. In this paper, we propose an improved simple linear iterative clustering (SLIC) superpixel approach based on nonstationarity measure (NS-M), which is called nSLIC. An adjustive distance measure is developed in the five-dimensional [labxy] space.
Shaoyong Jia +5 more
openaire +1 more source
SLIC EVM — Error vector magnitude without demodulation
2017 89th ARFTG Microwave Measurement Conference (ARFTG), 2017We present a method for measuring a communication signal's inband error caused by a non-ideal device under test (DUT). In contrast to the established error vector magnitude (EVM), we do not demodulate the data symbols. Rather, we subtract linearly correlated (SLIC) parts from the DUT output and analyze the power spectral density of the remaining error ...
Karl Freiberger +2 more
openaire +1 more source
SLIC: A Method for Sequence- and Ligation-Independent Cloning
2012We describe here a method for sequence- and ligation-independent cloning (SLIC). SLIC uses an exonuclease, T4 DNA polymerase, to generate single-stranded DNA overhangs in insert and vector sequences. These fragments are then assembled in vitro and transformed into Escherichia coli to generate recombinant DNA of interest.
Mamie Z, Li, Stephen J, Elledge
openaire +2 more sources