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Binary Ninja is a reverse-engineering platform developed by Vector 35 Inc. [1] It allows users to disassemble a binary file and visualize the disassembly in both linear and graph-based views. The software performs automated, in-depth code analysis, generating information that helps to analyze a binary.
Binary search Visualization of the binary search algorithm where 7 is the target value Class Search algorithm Data structure Array Worst-case performance O (log n) Best-case performance O (1) Average performance O (log n) Worst-case space complexity O (1) Optimal Yes In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search ...
Binary classification is the task of classifying the elements of a set into one of two groups (each called class). Typical binary classification problems include: Medical testing to determine if a patient has a certain disease or not; Quality control in industry, deciding whether a specification has been met;
Connected-component labeling (CCL), connected-component analysis (CCA), blob extraction, region labeling, blob discovery, or region extraction is an algorithmic application of graph theory, where subsets of connected components are uniquely labeled based on a given heuristic. Connected-component labeling is not to be confused with segmentation.
A special variant of ICA is binary ICA in which both signal sources and monitors are in binary form and observations from monitors are disjunctive mixtures of binary independent sources. The problem was shown to have applications in many domains including medical diagnosis , multi-cluster assignment , network tomography and internet resource ...
In statistics, specifically regression analysis, a binary regression estimates a relationship between one or more explanatory variables and a single output binary variable. Generally the probability of the two alternatives is modeled, instead of simply outputting a single value, as in linear regression .
Ghidra (pronounced GEE-druh; [3] / ˈ ɡ iː d r ə / [4]) is a free and open source reverse engineering tool developed by the National Security Agency (NSA) of the United States. The binaries were released at RSA Conference in March 2019; the sources were published one month later on GitHub. [5]
Binary decision diagrams (BDDs) were introduced by C. Y. Lee, [6] and further studied and made known by Sheldon B. Akers [7] and Raymond T. Boute. [8] Independently of these authors, a BDD under the name "canonical bracket form" was realized Yu. V. Mamrukov in a CAD for analysis of speed-independent circuits. [9]