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» Ink recognition based on statistical classification methods
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CVPR
2008
IEEE
14 years 10 months ago
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Grégory Rogez, Jonathan Rihan, Srikumar Ram...
ICPR
2002
IEEE
14 years 9 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
ACIVS
2005
Springer
14 years 2 months ago
Identification of Intestinal Motility Events of Capsule Endoscopy Video Analysis
Abstract. Purpose: To develop a system for assisting the analysis of capsuleendoscopy (CE) video data and identifying sequences of frames related to small intestine motility. Mater...
Panagiota Spyridonos, Fernando Vilariño, Jo...
MCS
2000
Springer
14 years 6 days ago
Combining Fisher Linear Discriminants for Dissimilarity Representations
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
Elzbieta Pekalska, Marina Skurichina, Robert P. W....
CHI
2010
ACM
13 years 6 months ago
Protractor: a fast and accurate gesture recognizer
Protractor is a novel gesture recognizer that can be easily implemented and quickly customized for different users. Protractor uses a nearest neighbor approach, which recognizes a...
Yang Li