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Retrieval on source code: a neural code search

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018
Searching over large code corpora can be a powerful productivity tool for both beginner and experienced developers because it helps them quickly find examples of code related to their intent. Code search becomes even more attractive if developers could express their intent in natural language, similar to the interaction that Stack Overflow supports. In
Saksham Sachdev   +5 more
openaire   +1 more source

CODING FOR CONTENT-BASED RETRIEVAL

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2005
We define a data structure called a "web" together with an algorithm to choose scale-space atoms for representing an image. The corresponding wavelet coefficients (of the atoms chosen using this method) have useful properties which lead to (i) the definition of a stochastic process for representing images and (ii) an efficient image compression ...
M.D. Swanson, S. Hosur, A.H. Tewfik
openaire   +1 more source

Code retrieval via undercover multiplexing

Optik, 2008
The purpose of this research is to develop an undercover multiplexing technique to give additional protection for optical information encryption. We employ the double random phase mask as our basic optical encryption system. The holographic storage medium of choice is a photorefractive crystal.
John Fredy Barrera   +4 more
openaire   +1 more source

Document Image Retrieval through Word Shape Coding

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
This paper presents a document retrieval technique that is capable of searching document images without OCR (optical character recognition). The proposed technique retrieves document images by a new word shape coding scheme, which captures the document content through annotating each word image by a word shape code.
Lu, S., Li, L., Tan, C.L.
openaire   +2 more sources

Forensic Diagnosis Coding and Retrieval by Microcomputer

The American Journal of Forensic Medicine and Pathology, 1986
A system is described for coding of anatomic--including forensic--pathologic diagnoses from necropsy cases using a microcomputer. The SNOMED software from the College of American Pathologists is utilized. RAM-disk software is employed to enhance the speed of operation of the system.
E C, Klatt, T T, Noguchi
openaire   +2 more sources

Phase retrieval based on coded splitting modulation

Journal of Microscopy, 2017
SummaryA new coded splitting imaging technique is proposed to reconstruct the complex amplitude of a light field iteratively using a single‐shot measurement. In this technique, a specially designed coded splitting plate is adopted to diffract the illuminating beam into multiple beams of different orders and code their wavefronts independently and ...
Y, Yao, X, He, C, Liu, Jianqiang, Zhu
openaire   +2 more sources

Retrieval-based neural source code summarization

Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering, 2020
Source code summarization aims to automatically generate concise summaries of source code in natural language texts, in order to help developers better understand and maintain source code. Traditional work generates a source code summary by utilizing information retrieval techniques, which select terms from original source code or adapt summaries of ...
Jian Zhang   +4 more
openaire   +1 more source

Index Codes for Multibiometric Pattern Retrieval

IEEE Transactions on Information Forensics and Security, 2012
In a biometric identification system, the identity corresponding to the input data (probe) is typically determined by comparing it against the templates of all identities in a database (gallery). Exhaustive matching against a large number of identities increases the response time of the system and may also reduce the accuracy of identification. One way
Aglika Gyaourova, Arun Ross
openaire   +1 more source

Coding image sequences for interactive retrieval

Communications of the ACM, 1989
An image coding technique for digital storage of motion picture information is presented that is optimated for use in interactive systems where high quality still frames, random access, and database linkages are required.
Andrew Lippman, William Butera
openaire   +1 more source

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