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» Extracting general-purpose features from LIDAR data
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AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 3 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
15 years 3 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...
GIS
2004
ACM
16 years 28 days ago
A new approach for a topographic feature-based characterization of digital elevation data
Triangular Irregular Network (TIN) and Regular Square Grid (RSG) are widely used for representing 2.5 dimensional spatial data. However, these models are not defined from the topo...
Eric Saux, Ki-Joune Li, Min-Hwan Kim, Rémy ...
ACIVS
2005
Springer
15 years 5 months ago
Gender Classification in Human Gait Using Support Vector Machine
We describe an automated system that classifies gender by utilising a set of human gait data. The gender classification system consists of three stages: i) detection and extraction...
Jang-Hee Yoo, Doosung Hwang, Mark S. Nixon
KDD
2009
ACM
266views Data Mining» more  KDD 2009»
15 years 6 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari