14.1.3.3 Probabilistic Latent Semantic Analysis, pLSA.

Chapter Contents (Back)
pLSA.

Na, S.H.[Seung-Hoon], Lee, J.H.[Jong-Hyeok],
Memory-restricted latent semantic analysis to accumulate term-document co-occurrence events,
PRL(33), No. 12, 1 September 2012, pp. 1623-1631.
Elsevier DOI 1208
Co-occurrence; Dimensionality reduction; Partial-update algorithm; Latent semantic analysis BibRef

Na, S.H.[Seung-Hoon], Lee, J.H.[Jong-Hyeok],
Partial-update dimensionality reduction for accumulating co-occurrence events,
PRL(36), No. 1, 2014, pp. 62-73.
Elsevier DOI 1312
Co-occurrence BibRef

Jin, B.[Biao], Hu, W.L.[Wen-Long], Wang, H.Q.[Hong-Qi],
Image Classification Based on pLSA Fusing Spatial Relationships Between Topics,
SPLetters(19), No. 3, March 2012, pp. 151-154.
IEEE DOI 1202
BibRef

Wang, X.[Xin], Chang, M.C.[Ming-Ching], Wang, L.[Lan], Lyu, S.W.[Si-Wei],
Efficient algorithms for graph regularized PLSA for probabilistic topic modeling,
PR(86), 2019, pp. 236-247.
Elsevier DOI 1811
PLSA: Probabilistic latent semantic analysis. Graph regularization, Topic analysis, Clustering BibRef


Olaode, A.A., Naghdy, G., Todd, C.A.,
Unsupervised Image Classification by Probabilistic Latent Semantic Analysis for the Annotation of Images,
DICTA14(1-8)
IEEE DOI 1502
content-based retrieval BibRef

Zhang, F.[Fan], Song, Y.[Yang], Liu, S.[Sidong], Pujol, S., Kikinis, R., Feng, D.[Dagan], Cai, W.D.[Wei-Dong],
Latent Semantic Association for Medical Image Retrieval,
DICTA14(1-6)
IEEE DOI 1502
diseases BibRef

Zhong, C.[Cencen], Miao, Z.J.[Zhen-Jiang],
Modeling correlation between multi-modal continuous words for pLSA-based video classification,
ICIP14(4304-4308)
IEEE DOI 1502
graph regularizer Probabilistic latent semantic analysis. BibRef

Wang, S.Y.[Ssu-Ying], Hsieh, J.W.[Jun-Wei], Yan, Y.[Yilin], Chen, L.C.[Li-Chih], Chen, D.Y.[Duan-Yu],
PLSA-based sparse representation for vehicle color classification,
AVSS15(1-6)
IEEE DOI 1511
expectation-maximisation algorithm BibRef

Yan, Y.[Yilin], Hsieh, J.W.[Jun-Wei], Chiang, H.F.[Hui-Fen], Cheng, S.C.[Shyi-C.], Chen, D.Y.[Duan-Yu],
PLSA-Based Sparse Representation for Object Classification,
ICPR14(1295-1300)
IEEE DOI 1412
Algorithm design and analysis BibRef

Pliakos, K.[Konstantinos], Kotropoulos, C.[Constantine],
PLSA driven image annotation, classification, and tourism recommendation,
ICIP14(3003-3007)
IEEE DOI 1502
Accuracy BibRef

Chaudhuri, A.R.[Arghya Roy], Murty, M.N.[M. Narasimha],
On the relation between K-means and PLSA,
ICPR12(2298-2301).
WWW Link. 1302
BibRef

Ergul, E.[Emrah], Erturk, S.[Sarp], Arica, N.[Nafiz],
Hierarchical Image Representation Using Deep Network,
CIAP15(II:66-77).
Springer DOI 1511
BibRef

Ergul, E.[Emrah], Arica, N.[Nafiz],
Scene Classification Using Spatial Pyramid of Latent Topics,
ICPR10(3603-3606).
IEEE DOI 1008
Combine Spatial Pyramid Matching (SPM) and probabilistic Latent Semantic Analysis (pLSA) modeling. BibRef

Hörster, E.[Eva], Greif, T.[Thomas], Lienhart, R.[Rainer], Slaney, M.[Malcolm],
Comparing Local Feature Descriptors in pLSA-Based Image Models,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Hörster, E.[Eva], Lienhart, R.[Rainer], Slaney, M.[Malcolm],
Continuous visual vocabulary models for pLSA-based scene recognition,
CIVR08(319-328). 0807
BibRef

Hörster, E., Lienhart, R., Kellermann, W., Bouguet, J.Y.,
Calibration of visual sensors and actuators in distributed computing platforms,
VSSN05(19-28).
WWW Link. 0511
BibRef

Hazan, T.[Tamir], Hardoon, R.[Roee], Shashua, A.[Amnon],
pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Error Correcting Output Codes, ECOC .


Last update:Jun 13, 2019 at 09:53:00