Review of deep learning algorithms and architectures
Deep learning (DL) is playing an increasingly important role in our lives. It has already made
a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars …
a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars …
Information retrieval on the web
In this paper we review studies of the growth of the Internet and technologies that are useful
for information search and retrieval on the Web. We present data on the Internet from several …
for information search and retrieval on the Web. We present data on the Internet from several …
SVD compression for magnetic resonance fingerprinting in the time domain
Magnetic resonance (MR) fingerprinting is a technique for acquiring and processing MR
data that simultaneously provides quantitative maps of different tissue parameters through a …
data that simultaneously provides quantitative maps of different tissue parameters through a …
[LIVRE][B] Handbook of latent semantic analysis
TK Landauer, DS McNamara, S Dennis, W Kintsch - 2007 - books.google.com
The Handbook of Latent Semantic Analysis is the authoritative reference for the theory
behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze …
behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze …
Extracting semantic representations from word co-occurrence statistics: A computational study
The idea that at least some aspects of word meaning can be induced from patterns of word
co-occurrence is becoming increasingly popular. However, there is less agreement about …
co-occurrence is becoming increasingly popular. However, there is less agreement about …
[LIVRE][B] Handbook of linear algebra
L Hogben - 2006 - books.google.com
The Handbook of Linear Algebra provides comprehensive coverage of linear algebra
concepts, applications, and computational software packages in an easy-to-use handbook …
concepts, applications, and computational software packages in an easy-to-use handbook …
A survey on deep learning in big data
M Gheisari, G Wang… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Big Data means extremely huge large data sets that can be analyzed to find patterns, trends.
One technique that can be used for data analysis so that able to help us find abstract …
One technique that can be used for data analysis so that able to help us find abstract …
[LIVRE][B] Information retrieval: Algorithms and heuristics
DA Grossman, O Frieder - 2004 - books.google.com
Interested in how an efficient search engine works? Want to know what algorithms are used
to rank resulting documents in response to user requests? The authors answer these and …
to rank resulting documents in response to user requests? The authors answer these and …
Matrices, vector spaces, and information retrieval
The evolution of digital libraries and the Internet has dramatically transformed the
processing, storage, and retrieval of information. Efforts to digitize text, images, video, and …
processing, storage, and retrieval of information. Efforts to digitize text, images, video, and …
An adaptation of the vector-space model for ontology-based information retrieval
Semantic search has been one of the motivations of the semantic Web since it was
envisioned. We propose a model for the exploitation of ontology-based knowledge bases to …
envisioned. We propose a model for the exploitation of ontology-based knowledge bases to …