- "bin") of the
binarized symbol.
Context model selection: A "context model" is a
probability model for one or more bins of the
binarized symbol. This model...
-
original and
binarized image, etc.,
Object Attribute-based
methods search a
measure of
similarity between the gray-level and the
binarized images, such...
- Despeckling –
removal of
positive and
negative spots,
smoothing edges Binarization –
conversion of an
image from
color or
greyscale to black-and-white (called...
- Leijun; Zhao, ****min; Tan, Hong-Zhou (11
December 2019). "Adaptive
Binarization of QR Code
Images for Fast
Automatic Sorting in
Warehouse Systems". Sensors...
- ****umed to have a
gaussianly distributed noise; however,
tasks such as
binarized MNIST require a
Bernoulli noise. The KL-D from the free
energy expression...
-
execution methods are emplo**** in some implementations.
These include clause binarization and stack-based
virtual machines.[citation needed]
Prolog systems typically...
-
creation of new
descriptors (D).
System tools:
These tools deal with
binarization, synchronization,
transport and
storage of descriptors. It also deals...
-
computer science, ecology, genomics, and
other sciences,
where binary or
binarized data are used. Both the
exact solution and
approximation methods are available...
- Leijun; Zhao, ****min; Tan, Hong-Zhou (11
December 2019). "Adaptive
Binarization of QR Code
Images for Fast
Automatic Sorting in
Warehouse Systems". Sensors...
- low-frequency
changes in
brightness must be high-p**** filtered, or Tesseract's
binarization stage will
destroy much of the page, and dark
borders must be manually...
