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COLING
2010
14 years 7 months ago
Text Summarization of Turkish Texts using Latent Semantic Analysis
Text summarization solves the problem of extracting important information from huge amount of text data. There are various methods in the literature that aim to find out well-form...
Makbule Ozsoy, Ilyas Cicekli, Ferda Nur Alpaslan
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 7 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
SIGIR
2006
ACM
15 years 6 months ago
Latent semantic analysis for multiple-type interrelated data objects
Co-occurrence data is quite common in many real applications. Latent Semantic Analysis (LSA) has been successfully used to identify semantic relations in such data. However, LSA c...
Xuanhui Wang, Jian-Tao Sun, Zheng Chen, ChengXiang...
111
Voted
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
15 years 5 months ago
Probabilistic latent semantic user segmentation for behavioral targeted advertising
Behavioral Targeting (BT), which aims to deliver the most appropriate advertisements to the most appropriate users, is attracting much attention in online advertising market. A ke...
Xiaohui Wu, Jun Yan, Ning Liu, Shuicheng Yan, Ying...
98
Voted
CHI
2008
ACM
16 years 25 days ago
AutoCardSorter: designing the information architecture of a web site using latent semantic analysis
In this paper, we describe an innovative tool that supports the design and evaluation of the information architecture of a Web site. The tool uses Latent Semantic Analysis and hie...
Christos Katsanos, Nikolaos K. Tselios, Nikolaos M...