Results 231 to 240 of about 306,626 (287)

LDA+: An Extended LDA Model for Topic Hierarchy and Discovery

2022
The success of topic modeling algorithms depends on their ability to analyze, index and classify large text corpora. These algorithms could be classified into two groups where the first one is oriented to classify textual corpus according to their dominant topics such as LDA, LSA and PLSA which are the most known techniques.
Drissi, Amani, Khemiri, Ahmed, Sassi, Salma, Tissaoui, Anis, Chbeir, Richard, Jemai, Abderrazek   +5 more
openaire   +1 more source

An Improved LDA Approach

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004
Linear discrimination analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Despite these efforts, there persist in LDA at least three areas of weakness.
Jing, XY, Zhang, DD, Tang, YY
openaire   +4 more sources

Resampling LDA/QR and PCA+LDA for Face Recognition [PDF]

, 2005
Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the Small Sample Size (SSS) problem in traditional LDA. When applied to face recognition under varying lighting conditions and different facial expressions, neither method may work robustly.
Jun Liu, Songcan Chen
openaire   +1 more source

Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology

, 2018
Latent Dirichlet allocation (LDA) topic models are increasingly being used in communication research. Yet, questions regarding reliability and validity of the approach have received little attention thus far.
D. Maier, A. Waldherr, P. Miltner, Gregor Wiedemann, A. Niekler, A. Keinert, B. Pfetsch, Gerhard Heyer, U. Reber, T. Häussler, H. Schmid-Petri, S. Adam   +11 more
semanticscholar   +1 more source

A Comparative Study of PCA, LDA and Kernel LDA for Image Classification

2009 International Symposium on Ubiquitous Virtual Reality, 2009
Although various discriminant analysis approaches have been used in Content-Based Image Retrieval (CBIR) application, there have been relatively few concerns with kernel-based methods. Furthermore, these CBIR applications still applied discriminant analysis to face images as face recognition did.
Fei Ye, Zhiping Shi, Zhongzhi Shi
openaire   +2 more sources

Comparative Analysis of Classification Methods with PCA and LDA for Diabetes.

Current Diabetes Reviews, 2020
BACKGROUND The modern society is extremely prone to many life-threatening diseases, which can be easily controlled as well as cured if diagnosed at an early stage.
Dilip Kumar Choubey, Manish Kumar, Vaibhavi Shukla, Sudhakar Tripathi, V. Dhandhania   +4 more
semanticscholar   +1 more source

LDA enhanced moments

2007 6th International Conference on Information, Communications & Signal Processing, 2007
Moments and functions of moments are powerful tools in a vast number of fields, particularly image signal processing. In this paper, a method for obtaining a set of orthogonal, noise-robust, and distribution-adaptive moments, called Fishermoments (FM), is presented.
Alex C. Kot, Pew Thian Yap, Xudong Jiang
openaire   +2 more sources

Robust Coverless Image Steganography Based on DCT and LDA Topic Classification

IEEE transactions on multimedia, 2018
In order to improve the robustness and capability of resisting image steganalysis, a novel coverless image steganography algorithm based on discrete cosine transform and latent dirichlet allocation (LDA) topic classification is proposed.
Xiang Zhang, Fei Peng, Min Long
semanticscholar   +1 more source

LDA Signal Analysis [PDF]

, 1978
It is the purpose of this paper to review some fundamental contributions related to the problem of understanding the fundamental properties of the Doppler signal produced by a single scattering particle and to present typical results obtained by a computational procedure developed at the Politecnico di Milano.
U. Ghezzi, Aldo Coghe
openaire   +1 more source

On an equivalence between PLSI and LDA [PDF]

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, 2003
Latent Dirichlet Allocation (LDA) is a fully generative approach to language modelling which overcomes the inconsistent generative semantics of Probabilistic Latent Semantic Indexing (PLSI). This paper shows that PLSI is a maximum a posteriori estimated LDA model under a uniform Dirichlet prior, therefore the perceived shortcomings of PLSI can be ...
Ata Kaban, Mark Girolami
openaire   +1 more source