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[PDF] Top 20 Two Stage Hashing for Fast Document Retrieval

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Two Stage Hashing for Fast Document Retrieval

Two Stage Hashing for Fast Document Retrieval

... There are three main merits of LSH. (1) It tries to preserve the Cosine similarity of the original data with a probabilistic guarantee (Charikar, 2002). (2) It is training free, and thus very efficient in hashing ... See full document

6

DEEP NEURAL CLASSIFICATION AND LOGIT REGRESSION BASED ENERGY EFFICIENT ROUTING 
IN WIRELESS SENSOR NETWORK

DEEP NEURAL CLASSIFICATION AND LOGIT REGRESSION BASED ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK

... are two important problems, ...documents retrieval, including [3] adapt the classic VSM model for ontology-based information ...the retrieval stage adapts the classic vector space model, ... See full document

10

Document Hashing with Mixture Prior Generative Models

Document Hashing with Mixture Prior Generative Models

... tion retrieval tasks thanks to the efficiency of distance evaluation between binary ...Generative hashing is often used to generate hashing codes in an unsupervised ...generative hashing ... See full document

10

Real-Time Semantic Search Using Approximate Methodology for Large-Scale Storage Systems

Real-Time Semantic Search Using Approximate Methodology for Large-Scale Storage Systems

... Generally, FAST goes past the straightforward mix of existing strategies to offer productive information examination through altogether expanded handling ...way. Two comparable records for the most part ... See full document

10

Scientific Document Retrieval System Using Signature Based Hash Indexing

Scientific Document Retrieval System Using Signature Based Hash Indexing

... based or text based model. To reason with the theory we have constructed a mathematical search engine namely ―SigMa‖ particularly for scientific documents with mathematical content. At first mathematical information is ... See full document

8

Joint Image Text Hashing for Fast Large Scale Cross Media Retrieval Using Self Supervised Deep Learning

Joint Image Text Hashing for Fast Large Scale Cross Media Retrieval Using Self Supervised Deep Learning

... 2) Overall Comparisons with Baselines: To validate the superiority of the proposed SSDMH, we compare it with the state-of-the-arts and report the MAP results at various code lengths on three datasets, as shown in Table ... See full document

9

A Retrieval Algorithm of Encrypted Speech based on Syllable-level Perceptual Hashing

A Retrieval Algorithm of Encrypted Speech based on Syllable-level Perceptual Hashing

... proposed Two se- cure schemes to meet up privacy requirements in two threat models as known cipher text model and known background ...for retrieval of data files, but as an improvement, Rupali ... See full document

16

Semantic Correlation based Deep Cross Modal Hashing for Faster Retrieval

Semantic Correlation based Deep Cross Modal Hashing for Faster Retrieval

... as two independent processes which might not generate satisfactory results [15, 16, ...cross-modal hashing techniques are currently hot research topic where feature extraction as well as generation of the ... See full document

5

Perceptual Hashing for Content based Image Retrieval

Perceptual Hashing for Content based Image Retrieval

... image retrieval is efficient and fast growing research area which helps to retrieve images from large database ...and retrieval as well as shape information, spatial relationship between regions, ... See full document

5

SADIH: Semantic-Aware DIscrete Hashing

SADIH: Semantic-Aware DIscrete Hashing

... and fast query speed, hashing has been recognized to accomplish similarity search in large- scale multimedia retrieval ...vised hashing has recently received considerable research at- tention ... See full document

8

Sequential Discrete Hashing for Scalable Cross modality Similarity Retrieval

Sequential Discrete Hashing for Scalable Cross modality Similarity Retrieval

... large-scale retrieval tasks in realistic ...for fast query responses with sub-linear complexity, ...for retrieval tasks, they still suffer from the curse of dimensionality problems 1 , since good and ... See full document

13

Dynamic Multi view Hashing for Online Image Retrieval

Dynamic Multi view Hashing for Online Image Retrieval

... Multi-view Hashing: Recent years have witnessed fast de- velopment of multi-view hashing techniques due to its wide range of real ...multi-view hashing meth- ods can be generally divided to ... See full document

7

The relationship of word error rate to document ranking

The relationship of word error rate to document ranking

... describes two experiments that examine the relationship of Word Error Rate (WER) of retrieved spoken documents returned by a spoken document retrieval ...affect retrieval effectiveness but ... See full document

7

FSH: fast spaced seed hashing exploiting adjacent hashes

FSH: fast spaced seed hashing exploiting adjacent hashes

... other hashing functions, like the cyclic polynomial hash, that are usually more appropriate because of some desirable properties like uniform distribution in the output space, universality, higher-order ... See full document

11

Improve Cloud Computing Security Using RSA Encryption WithFermat’s Little Theorem

Improve Cloud Computing Security Using RSA Encryption WithFermat’s Little Theorem

... include two functions randomly selection of numbers and prime test for ...for fast prime finding algorithm. This help to fast implementation of RSA on smart card with crypto-processer ...and ... See full document

8

Cluster based collection selection in uncooperative distributed information retrieval

Cluster based collection selection in uncooperative distributed information retrieval

... are two types of clustering methods: hierarchical and partitional meth- ...every document is consid- ered a cluster which is recursively merged into a bigger ... See full document

79

Cross View Retrieval via Probability Based Semantics Preserving Hashing

Cross View Retrieval via Probability Based Semantics Preserving Hashing

... Fig. 2 illustrates the framework of the proposed SePH. Like [23] and [24], considering the semantic consistency between views, SePH generates one unified hash code for each instance, rather than respectively generate one ... See full document

15

Relevance Feedback Using Auditing Scheme in Content-based Image Retrieval in Cloud Computing Environment

Relevance Feedback Using Auditing Scheme in Content-based Image Retrieval in Cloud Computing Environment

... The security of images is kept up by encryption with the assistance of AES calculations. The utilization of keyword-based user image gets to conspire upgrades user protection. Search proficiency is accomplished as the ... See full document

10

Fast   and  Tradeoff-Resilient  Memory-Hard  Functions  for  Cryptocurrencies   and  Password  Hashing

Fast and Tradeoff-Resilient Memory-Hard Functions for Cryptocurrencies and Password Hashing

... We develop a simple and cryptographically secure approach to the design of such functions and show how to exploit the architecture of modern CPUs and memory chips to make faster and more secure schemes compared to ... See full document

15

Dual Space Re ranking Model for Document Retrieval

Dual Space Re ranking Model for Document Retrieval

... Another well-known approach to the latent model is the LSI method. It is based on SVD, a technique from linear algebra. This method has not been reported anywhere previously for re- ranking purposes. It has been included ... See full document

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