Konheim, A.G.: Hashing in Computer Science: Fifty Years of Slicing and Dicing. John Wiley & Sons (2010)Konheim, A.: Hashing in computer science. Wiley, Hoboken, N.J. (2010).Hashing in Computer Science ,Alan G.KonheimKonheim, A. G. (2010): Hashing in computer science - Fifty years of slicing and dicing. Hoboken, New Jer- sey: John Wiley & S...
A hashing method in computer science refers to a technique that uses hash functions to map similar feature vectors into the same bucket with high probability, aiming to preserve the similarity of original features by generating hash bits.
In subject area: Computer Science A hashing algorithm, in the context of Computer Science, refers to a method used to convert data into a fixed-size string of characters. It is commonly used in digital forensics and data security. Some commonly used hashing algorithms include Message Digest 5 ...
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As an example, let’s analyze a hash function used in Java’sStringclass: public int hashCode() { int h = hash; if (h == 0 && value.length > 0) { char val[] = value; for (int i = 0; i < value.length; i++) { h = 31 * h + val[i]; } hash = h; } return h;...
Hashing is used in data structures to efficiently store and retrieve data. The Dewey Decimal System, which enables books to be organized and stored based on their subject matter, has worked well in libraries for many years and the underlying concept works just as well in computer science. Softw...
The Importance of Data Hashing in Computer Science Data hashing is a fundamental concept in computer science, with wide-ranging applications in fields like data retrieval, security, and data integrity. At its core, data hashing is about transforming any form of data into a fixed-size sequence of...
Hashing is like a computer-science badge of identity — a sort of digital passport for data. In most cases, it’s used for applications in which data integrity and authentication are vital. Encryption is best for data confidentiality (as the primary concern)....
Hashing has been extensively utilized in cross-modal retrieval due to its high efficiency in handling large-scale, high-dimensional data. However, most existing cross-modal hashing methods operate as offline learning models, which learn hash codes in a batch-based manner and prove to be inefficient...
Hashing as Tie-Aware Learning to Rank Kun He Fatih Cakir Sarah Adel Bargal Stan Sclaroff Department of Computer Science, Boston University {hekun, fcakir, sbargal, sclaroff}@cs.bu.edu Abstract Hashing, or learning binary embeddings of data, is fre- quently used in nearest neighbor retrieval...