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EMNLP
2010
15 years 4 months ago
Latent-Descriptor Clustering for Unsupervised POS Induction
We present a novel approach to distributionalonly, fully unsupervised, POS tagging, based on an adaptation of the EM algorithm for the estimation of a Gaussian mixture. In this ap...
Michael Lamar, Yariv Maron, Elie Bienenstock
SBACPAD
2007
IEEE
157views Hardware» more  SBACPAD 2007»
16 years 16 days ago
Exploring Novel Parallelization Technologies for 3-D Imaging Applications
Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encounter...
Diego Rivera, Dana Schaa, Micha Moffie, David R. K...
ICMCS
2006
IEEE
206views Multimedia» more  ICMCS 2006»
16 years 9 days ago
Extracting Story Units in Sports Video Based on Unsupervised Video Scene Clustering
Many sports videos such as archery, diving and tennis have repetitive structure patterns. They are reliable clues to generate highlights, summarization and automatic annotation. I...
Chunxi Liu, Qingming Huang, Shuqiang Jiang, Weigan...
ISMIS
2005
Springer
15 years 11 months ago
Model-Based Cluster Analysis for Web Users Sessions
One of the main issues inWeb usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of users’sessions and di...
George Pallis, Lefteris Angelis, Athena Vakali
CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
15 years 9 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler