enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Local binary patterns - Wikipedia

   en.wikipedia.org/wiki/Local_binary_patterns

   Local binary patterns (LBP) is a type of visual descriptor used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990. LBP is the particular case of the Texture Spectrum model proposed in 1990.

3. Pattern recognition - Wikipedia

   en.wikipedia.org/wiki/Pattern_recognition

   Pattern recognition can be thought of in two different ways. The first concerns template matching and the second concerns feature detection. A template is a pattern used to produce items of the same proportions. The template-matching hypothesis suggests that incoming stimuli are compared with templates in the long-term memory.

4. Syntactic pattern recognition - Wikipedia

   en.wikipedia.org/wiki/Syntactic_pattern_recognition

   This allows for representing pattern structures, taking into account more complex relationships between attributes than is possible in the case of flat, numerical feature vectors of fixed dimensionality that are used in statistical classification. Syntactic pattern recognition can be used instead of statistical pattern recognition if clear ...

5. List of presentation programs - Wikipedia

   en.wikipedia.org/wiki/List_of_presentation_programs

   AppleWorks (formerly ClarisWorks presentation editing) - Classic Mac OS, Mac OS X, Windows 2000 or later; CA-Cricket Presents - Apple Macintosh, Windows; Gobe Productive - BeOS, Linux, Windows; Harvard Graphics - DOS, Windows; IBM Lotus Symphony - Linux, Mac OS X, Windows; Lotus Freelance Graphics - Windows; Jarte - Windows; MagicPoint - Unix ...

6. Pattern formation - Wikipedia

   en.wikipedia.org/wiki/Pattern_formation

   The science of pattern formation deals with the visible, (statistically) orderly outcomes of self-organization and the common principles behind similar patterns in nature. In developmental biology , pattern formation refers to the generation of complex organizations of cell fates in space and time.

7. Feature (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Feature_(machine_learning)

   In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition, classification, and regression tasks.